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Digital Image Processing
Lecture and exercise
Dates see RWTHOnline
Type of examination: written exam
This lecture covers the fundamentals and applications of imaging and image processing, and illustrates them with numerous examples. Prerequisite is a completed preliminary examination in the diploma courses Electrical Engineering and Information Technology, Computer Engineering or Computer Science. Teaching materials are accessible via the teaching and learning portal Moodle of RWTH Aachen University:
https://www.elearning.rwth-aachen.de
Contents of the lecture
- Introduction, meaning of visual information
- Imaging: human eye, cameras and other sensors
- Image preprocessing: grids and interpolation methods
- Homogeneous and inhomogeneous point operations
- 2D Fourier transform and two-dimensional linear system theory
- Image enhancement
- Feature extraction: edge detection
- Segmentation: point-based, region-based, contour-based, and model-based
- Registration I: point registration
- Registration II: surface registration
- Registration III: elastic registration
- Visualization I: indirect volume rendering
- Visualization II: direct volume rendering
Literature
- B. Jähne,
Digital Image Processing. Springer, 2005. - E. Trucco, A. Verri,
Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998 (imaging, central projection, pinhole camera, thin lens) - D.A. Forsyth, J. Ponce,
Computer Vision – A Modern Approach. Prentice-Hall, 2003 - To acquire prior knowledge of linear systems theory: J.-R. Ohm, H.D. Lüke,
Signalübertragung. Springer, 2005.