052617 VU Image Processing and Image Analysis (2017W)
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 Sa 09.09.2017 09:00 to Su 24.09.2017 23:59
- Deregistration possible until Su 15.10.2017 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 03.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 05.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 10.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 12.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 17.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 19.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 24.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 31.10. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 07.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 09.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 14.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 16.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 21.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 23.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 28.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 30.11. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 05.12. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 07.12. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 12.12. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 14.12. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 09.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 11.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 16.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 18.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 23.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Thursday 25.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
- Tuesday 30.01. 09:45 - 11:15 PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
Information
Aims, contents and method of the course
Assessment and permitted materials
4 labs worth 56% of the total grade
Midterm: 15%
Final: 25%
course participation: 4%
Midterm: 15%
Final: 25%
course participation: 4%
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%
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%
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: Mo 07.09.2020 15:30
- 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