- Degree Bachelor
- Code: CS455
- Credit hrs: 3
- Prequisites: CS212, BA201
This course emphasizes general principles of image processing, rather than specific applications. It covers topics such as image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, wavelets, noise reduction and restoration, feature extraction and recognition tasks, and image registration.
Multimedia and Graphics Program.
Rafael C. Gonzalez , Richard E. Woods, Digital Image Processing, Pearson
content serial | Description |
---|---|
1 | Introduction to DIP |
2 | Image Histogram |
3 | Image enhancement using transformations |
4 | Spatial Filtering |
5 | Morphological image processing 1 |
6 | Morphological image processing 2 |
7 | 7-th week exam |
8 | Image segmentation 1 |
9 | Image segmentation 2 |
10 | Feature extraction |
11 | Feature extraction & Classification |
12 | 12-th week exam |
13 | Recognition tasks |
14 | Students presentation |
15 | Revision |
16 | Final exam |
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