Module CS3203
Image processing (Bildverarb)
Duration
1 Semester
Turnus of offer
each summer semester
Credit points
4
Course of studies, specific fields and terms:
- Bachelor Computer Science 2012, optional subject, specialization field bioinformatics
- Bachelor Medical Informatics 2011, compulsory, computer science
- Master CLS 2010, compulsory, mathematics
- Bachelor Computer Science 2012, compulsory, specialization field robotics and automation
- Bachelor Computer Science 2012, optional subject, central topics of computer science
Classes and lectures:
- Image processing (exercise, 1 SWS)
- Image processing (lecture, 2 SWS)
Workload:
- 45 hours in-classroom work
- 55 hours private studies
- 20 hours exam preparation
Contents of teaching:
- Introduction, interest of visual information
- Fourier transformation
- Sampling and sampling theorem
- Filtering
- Image enhancement
- Edge detection
- Multiresolution concepts: Gaussian and Laplacian Pyramid, wavelets
- Principles of image compression
- Segmentation
- Morphological image processing
Qualification-goals/Competencies:
- Students will have basic knowledge of two-dimensional system theory.
- They are able to describe the main techniques for image analysis and image enhancement.
- They are able to apply the learned principles in practice.
Grading through:
- Written or oral exam as announced by the examiner
Responsible for this module:
Literature:
- A. K. Jain : Fundamentals of Digital Image Processing Prentice Hall, 1989
- Rafael C. Gonzalez, Richard E. Woods : Digital Image Processing Prentice Hall 2003
Language:
- offered only in German
Last Updated:
17.07.2019