FI:PV162 Image Processing Project - Course Information

PV162 Image Processing Project

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

• Applied Informatics (programme FI, B-AP)
• Applied Informatics (programme FI, N-AP)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-SO)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS)

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/

• Enrolment Statistics (Autumn 2004, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2004/PV162