Course

BV1 - Image Processing

PDF Course Catalog Deutsche Version: BV1

Version: 2 | Last Change: 16.09.2019 09:53 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name Image Processing
Approving CModule BV1_BaMT
Responsible
Prof. Dr. Dietmar Kunz
Professor Fakultät IME im Ruhestand
Level Bachelor
Semester in the year summer semester
Duration Semester
Hours in self-study 60
ECTS 5
Professors
Prof. Dr. Dietmar Kunz
Professor Fakultät IME im Ruhestand
Requirements Basic course mathematics
Basic course compuer science
Basic course signal theory
Language German
Separate final exam Yes
Literature
Burger/Burge: Digitale Bildverarbeitung
Tönnies: Grundlagen der Bildverarbeitung
Final exam
Details
In the oral exam, typical problems in image processing are presented, The student should make suggestions conserning suitable algorithms to be applied and to explain typical effects of these algorithms.
Minimum standard
The students must be able to explain the oberation of linear filters and the structue of the spatial frequency spectrum. Moreover, they must be able to recall imortant nonliear filters.
Exam Type
In the oral exam, typical problems in image processing are presented, The student should make suggestions conserning suitable algorithms to be applied and to explain typical effects of these algorithms.

Learning goals
Knowledge
Image processing
camera calibration
homogeneous point operations
linear filters
processing in frequency domain
filter banks and wavelets
image compression
adaptive filters
change of sampling grid
change of quantization
morphological filters
color image processing
motion
correspondence analysis
registration
Being able to describe important image processing algorithms, including their algorithmic structure and their effect on images.
Skills
select problem specific image processing methods
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 3
Tutorial (voluntary) 0
Special literature
keine/none
Special requirements
none
Accompanying material
electronic lecture sheets
Separate exam
none

Learning goals
Knowledge
Image processing
camera calibration
homogeneous point operations
linear filters
processing in frequency domain
filter banks and wavelets
image compression
adaptive filters
change of sampling grid
change of quantization
morphological filters
color image processing
motion
correspondence analysis
registration
Image processing with ImageJ
ImageJ
Java
Eclipse
Skills
implement image processing methods
Plugins
Macros
apply image processing methods using ImageJ
Identify and assess efects of processing in images
Expenditure classroom teaching
Type Attendance (h/Wk.)
Practical training 2
Tutorial (voluntary) 0
Special literature
keine/none
Special requirements
none
Accompanying material
sample images
development tools
image processing (ImageJ)
program
documentation
IDE (Eclipse)
plugins and plugin templates for ImageJ
Separate exam
Exam Type
solving exercises within limited functional / methodical scope
Details
process images according to given exercise problems and present results
Minimum standard
All exercises must be processed so far that expected effects of the algorithms become observable.

Impressum
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