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