Universität Wien FIND
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052617 VU Image Processing and Image Analysis (2021W)

Continuous assessment of course work
MIXED

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 05.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 07.10. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 12.10. 09:45 - 11:15 Hybride Lehre
Hörsaal 2, Währinger Straße 29 2.OG
Thursday 14.10. 09:45 - 11:15 Hybride Lehre
Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 19.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 21.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 28.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 04.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 09.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 11.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 16.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 18.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 23.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 25.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 30.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 02.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 07.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 09.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 14.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 16.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 11.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 13.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 18.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 20.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
Tuesday 25.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Thursday 27.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

The goal of Image Processing and Image Analysis is to give an overview of the main Image Analysis methods that are of importance in computer vision applications. An important area of application are medical image analysis methods, from which we draw many examples. Topics to be covered include:
- Edge detection and thresholding
- Region-based segmentation (region growing, graph cuts)
- Active contours: Snakes and level sets
- Feature extraction
- Image pattern classification
- Registration
- Shape classification

Assessment and permitted materials

4 labs worth 55% of the total grade
Midterm: 15%
Final: 25%
course participation: 5%

Minimum requirements and assessment criteria

A mandatory prerequisite for this class is the successful completion of Signal and Image Processing (05-2600).

The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%

Additionally, you need to achieve at least 40% of the possible points in both the exams and the labs for a passing grade.

Examination topics

based on
- Textbook
- additional material (papers)
- labs
- lectures

Reading list

Digital Image Processing, 4th edition by Gonzalez and Woods Pearson/Prentice Hall, 2018, see http://www.imageprocessingplace.com/downloads_V3/dip4e_downloads/dip4e_sample_book_material/dip4e_detailed_TOC.pdf

Sonka, V. Hlavac, and R. Boyle "Image Processing, Analysis, and Machine
Vision 4th Edition," Cengage Learning, 2015.
http://www.cengage.com/c/image-processing-analysis-and-machine-vision-4e-sonka#table-of-contents

Association in the course directory

Module: IPA

Last modified: Tu 05.10.2021 17:28