Course Information

PV162 Image Processing Project

Faculty of Informatics
Autumn 2024

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV291 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 3/20, only registered: 1/20, only registered with preference (fields directly associated with the programme): 1/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV291 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

The student selects a topic from a given list or suggests own topic from the field of digital image processing. (S)he works independently and is supervised by one of the tutors. The results of the work are presented at the end of the semester to other students and tutors.

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

https://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2025

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV291 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 4/25, only registered with preference (fields directly associated with the programme): 4/25

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV291 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

https://cbia.fi.muni.cz/

PV162 Image Processing Project

Faculty of Informatics
Spring 2024

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 9/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

PV162 Image Processing Project

Faculty of Informatics
Autumn 2023

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Fri 22. 9. 14:00–15:50 A320

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 7/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 75 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.

Teacher's information

http://cbia.fi.muni.cz/

PV162 Image Processing Project

Faculty of Informatics
Spring 2023

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 1/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2022

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 75 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2022

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 1/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2021

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2021

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2020

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2020

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
Dmitry Sorokin, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
RNDr. Roman Stoklasa, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2019

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
Ing. Martin Spurný (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 74 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2019

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2018

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
Ing. Martin Spurný (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course, the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and more profound knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming: implementation and testing of a given algorithm (in a chosen programming language)
Creative: finding a suitable solution to a given problem
Study: testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

To obtain credits, the student must finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2018

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming - implementation and testing of a given algorithm (in a chosen programming language)
Creative - finding a suitable solution to a given problem
Study - testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2017

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
Ing. Martin Spurný (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Learning outcomes

At the end of the course the student will be able to better solve practical problems from the area of digital image processing.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming - implementation and testing of a given algorithm (in a chosen programming language)
Creative - finding a suitable solution to a given problem
Study - testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2017

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming - implementation and testing of a given algorithm (in a chosen programming language)
Creative - finding a suitable solution to a given problem
Study - testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2016

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
RNDr. Roman Stoklasa, Ph.D. (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
Programming - implementation and testing of a given algorithm (in a chosen programming language)
Creative - finding a suitable solution to a given problem
Study - testing and comparison of several algorithms/implementations on a given data

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2016

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of digital image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++, Matlab, Java, or Python based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2015

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Dmitry Sorokin, Ph.D. (assistant)
Mgr. Karel Štěpka, Ph.D. (assistant)
RNDr. Vladimír Ulman, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
RNDr. Ing. Bc. Tomáš Majtner, Ph.D. (assistant)
RNDr. Roman Stoklasa, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Finished course PV131 or at least PB130 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 37 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++, Java or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to pass this course, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2015

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
Dmitry Sorokin, Ph.D. (seminar tutor)
doc. RNDr. Martin Maška, Ph.D. (seminar tutor)
RNDr. Pavel Karas, Ph.D. (seminar tutor)
RNDr. David Novák, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25

fields of study / plans the course is directly associated with

there are 36 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++, Matlab, Java, or Python based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and give a final short presentation on a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2014

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Dmitry Sorokin, Ph.D. (assistant)
RNDr. Pavel Karas, Ph.D. (assistant)
Mgr. Karel Štěpka, Ph.D. (assistant)
RNDr. Vladimír Ulman, Ph.D. (assistant)
RNDr. Ing. Bc. Tomáš Majtner, Ph.D. (assistant)
RNDr. Roman Stoklasa, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Finished course PV131 or at least PB130 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 36 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++, Java or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to pass this course, it is necessary to finish the task (process data, write a fully functional computer program) and give a final short presentation.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2014

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Dmitry Sorokin, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
RNDr. Pavel Karas, Ph.D. (assistant)
RNDr. David Novák, Ph.D. (assistant)
Mgr. Karel Štěpka, Ph.D. (assistant)
RNDr. Vladimír Ulman, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Knowledge at the level of course PV131 or at least PB130 is required

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 36 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++, Matlab, Java, or Python based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and give a final short presentation on a seminar.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2013

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Dmitry Sorokin, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
RNDr. Pavel Karas, Ph.D. (lecturer)
Mgr. Karel Štěpka, Ph.D. (lecturer)
RNDr. Vladimír Ulman, Ph.D. (lecturer)
RNDr. Ing. Bc. Tomáš Majtner, Ph.D. (lecturer)
RNDr. Roman Stoklasa, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

SOUHLAS
Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 36 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to pass this course, it is necessary to finish the task (process data, write a fully functional computer program) and give a final short presentation.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Spring 2013

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Dmitry Sorokin, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
RNDr. Pavel Karas, Ph.D. (assistant)
Mgr. Karel Štěpka, Ph.D. (assistant)
RNDr. Vladimír Ulman, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 36 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2011

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 41 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

Czech

Follow-Up Courses

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2010

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 46 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

Czech

Follow-Up Courses

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2009

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 46 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

Czech

Follow-Up Courses

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2008

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 39 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Assessment methods

Practical tasks with emphasis on image analysis and programming in C/C++. It is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

Czech

Follow-Up Courses

Further Comments

Study Materials
The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2007

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 39 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Follow-Up Courses

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2006

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Timetable

Thu 8:00–9:50 B204

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Follow-Up Courses

Further Comments

The course is taught annually.

Teacher's information

http://cbia.fi.muni.cz/

The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2005

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Timetable

Thu 8:00–9:50 B204

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/lom/

The course is also listed under the following terms Autumn 2004, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2004

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)

Guaranteed by

prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Timetable

Wed 10:00–11:50 B411

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 17 fields of study the course is directly associated with, display

Course objectives

The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.

Assessment methods (in Czech)

Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).

Language of instruction

Czech

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/lom/

The course is also listed under the following terms Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.

PV162 Image Processing Project

Faculty of Informatics
Autumn 2012

The course is not taught in Autumn 2012

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Prerequisites

Finished or registered course PV131 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20

fields of study / plans the course is directly associated with

there are 36 fields of study the course is directly associated with, display

Course objectives

Syllabus

Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.

Literature

Articles published in scientific journals and conference proceedings according to the specification of project leader.

Teaching methods

Independent programming activity, usually in C/C++ or Matlab, based on a task description and regular consultations with project leader.

Assessment methods

In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and prepare a final short presentation.

Language of instruction

Czech

Follow-Up Courses

PV187 Seminar of digital image processing

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://cbia.fi.muni.cz/

Enrolment Statistics (Autumn 2024, recent)

Course Information

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

PV162 Image Processing Project

Other applications