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, mor-phological image processing, linear image filtering and correlation, image transforms, eigen images, multiresolution image processing, wavelets, noise reduction and restoration, feature extraction and recognition tasks, and image registration.
Bachelor of Computer Science - 144 CRs
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 | 7th week exam |
8 | Image segmentation 1 |
9 | Image segmentation 2 |
10 | Feature extraction |
11 | Feature extraction & Classification |
12 | 12th week exam |
13 | Recognition tasks |
14 | Students’ presentation |
15 | Revision |
16 | Final exam |
Start your application