Course Manual 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 |
| Valid from | summer semester 2022 |
| 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 | EN mündliche Prüfung, strukturierte Befragung |
Learning goals
| Goal type | Description |
|---|---|
| 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 |
| Skills | select problem specific image processing methods |
| Knowledge | Being able to describe important image processing algorithms, including their algorithmic structure and their effect on images. |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Lecture | 3 |
| Tutorial (voluntary) | 0 |
Special requirements
|
none |
| Accompanying material | electronic lecture sheets |
|---|---|
| Separate exam | No |
Learning goals
| Goal type | Description |
|---|---|
| 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 |
| Knowledge | Image processing with ImageJ ImageJ Java Eclipse |
| Skills | implement image processing methods Plugins Macros |
| Skills | apply image processing methods using ImageJ |
| Skills | Identify and assess efects of processing in images |
Expenditure classroom teaching
| Type | Attendance (h/Wk.) |
|---|---|
| Practical training | 2 |
| Tutorial (voluntary) | 0 |
Special requirements
|
none |
| Accompanying material |
sample images development tools image processing (ImageJ) program documentation IDE (Eclipse) plugins and plugin templates for ImageJ |
|---|---|
| Separate exam | Yes |
Separate exam
| Exam Type | EN Übungsaufgabe mit fachlich / methodisch eingeschränktem Fokus lösen |
|---|---|
| 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. |
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Webredaktion der Fakultät IME
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