FI:PV187 Sem. of dig. image processing - Course Information

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

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

Timetable

Wed 8:00–9:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing 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.

fields of study / plans the course is directly associated with

• Applied Informatics (programme FI, B-AP)
• Applied Informatics (programme FI, N-AP)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics (programme FI, B-AP)
• Bioinformatics (programme FI, N-AP)
• Information Systems (programme FI, N-IN)
• Informatics with another discipline (programme FI, B-EB)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-TV)
• Mathematical Informatics (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer Graphics and Image Processing (programme FI, B-IN)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, B-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Systems and Data Processing (programme FI, B-IN)
• Computer Systems (programme FI, N-IN)
• Embedded Systems (eng.) (programme FI, N-IN)
• Programmable Technical Structures (programme FI, B-IN)
• Embedded Systems (programme FI, N-IN)
• Service Science, Management and Engineering (eng.) (programme FI, N-AP)
• Service Science, Management and Engineering (programme FI, N-AP)
• Social Informatics (programme FI, B-AP)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Image Processing (programme FI, N-AP)

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

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

• Enrolment Statistics (Spring 2013, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2013/PV187