CENG 508
Digital Image Processing
This course covers the materials required to process and enhance photographic images, remote sensor multispacial scanner data and others. Topics include transform techniques, records and discriminate function.
Learning Outcomes:
To be able to describe the fundamental concepts in image processing
To identify state-of-the-art techniques in image processing research area
To implement algorithms to solve the encountered problems/requirements in the area of image processing
To prepare written and oral presentation for the performed work
| Topics |
| Concepts in Image Processing |
| Digital Image Representation |
| MATLAB Tutorial and Image Representation in MATLAB |
| Image Noise and Filtering |
| Binary Image Processing |
| Image Segmentation |
| Fourier Transform and Its Applications |
| Image Enhancement |
| Mid-term Exam |
| Edge Detection |
| Corner Detection |
| Camera Geometry and Calibration |
| Feature Matching and Epipolar Geometry |
| Project Presentations |
Instructor(s)
Other MS Courses
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