052617 VU Image Processing and Image Analysis (2019W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik

Continuous assessment of course work

URL http://vda.univie.ac.at/Teaching/IPA/

Moodle

Registration/Deregistration

Registration is open from Sa 07.09.2019 09:00 to Mo 23.09.2019 09:00
Deregistration possible until Mo 14.10.2019 23:59

Details

max. 25 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

    
    Tuesday
    01.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    03.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    08.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    10.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    15.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    17.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    22.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    24.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    29.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    31.10.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    05.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    07.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    12.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    14.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    19.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    21.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    26.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    28.11.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    03.12.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    05.12.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    10.12.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    12.12.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    17.12.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    07.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    09.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    14.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    16.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    21.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    23.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Tuesday
    28.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG
    
    Thursday
    30.01.
    09:45 - 11:15
    PC-Unterrichtsraum 1, Währinger Straße 29 1.UG

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: Mo 07.09.2020 15:20