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052617 VU Image Processing and Image Analysis (2022W)
Continuous assessment of course work
Labels
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).
- Registration is open from We 14.09.2022 09:00 to We 21.09.2022 09:00
- Deregistration possible until Fr 14.10.2022 23:59
Details
max. 25 participants
Language: English
Lecturers
- Torsten Möller
- Hrvoje Bogunovic
- Yll Haxhimusa
- Georg Langs
- Michal Robert Žák (Student Tutor)
Classes (iCal) - next class is marked with N
- Tuesday 04.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 06.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 11.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 13.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 18.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 20.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 25.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 27.10. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Thursday 03.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 08.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 10.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 15.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 17.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 22.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 24.11. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 29.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 01.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 06.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Tuesday 13.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 15.12. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 10.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 12.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 17.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 19.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 24.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Thursday 26.01. 09:45 - 11:15 Seminarraum 7, Währinger Straße 29 1.OG
- Tuesday 31.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
4 labs worth 55% of the total grade
Midterm: 15%
Final: 25%
course participation: 5%
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.
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
- 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.pdfSonka, 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
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 27.09.2022 00:06
- 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