Duration:
1 Semester | Turnus of offer:
each summer semester | Credit points:
4 |
Course of studies, specific field and terms: - Bachelor Computer Science 2012 (optional subject), specialization field bioinformatics, 6th semester
- Bachelor Medical Informatics 2011 (compulsory), computer science, 6th semester
- Master CLS 2010 (compulsory), mathematics, 2nd semester
- Bachelor Computer Science 2012 (compulsory), specialization field robotics and automation, 6th semester
- Bachelor Computer Science 2012 (optional subject), central topics of computer science, 5th or 6th semester
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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
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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
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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.
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Grading through: - Written or oral exam as announced by the examiner
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Requires: |
Responsible for this module: Teachers: |
Literature: - A. K. Jain: Fundamentals of Digital Image Processing - Prentice Hall, 1989
- Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing - Prentice Hall 2003
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Language: |
Letzte Änderung: 17.7.2019 |
für die Ukraine