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.
  • Enrolment Statistics (Autumn 2008, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2008/PV162