- Understand image processing, computer imaging systems, resolution concerns, and image formats.
- Illustrate image digitization, image properties, and noise in images.
- Realize image pre-processing enhancements pixel brightness transformation, geometric transformations, and local filtering using masks.
- Apply image segmentation threshold based, edge based, region based, and matching.
- Understand shape representation and description.
- Apply mathematical morphology.
- Introduce classification and recognition in image analysis.
- Implement a computer program on Matlab or Python to for an image analysis application.
- Present a framework for an image analysis application pipeline.
Computer Science - 132 CRs
Data will be available soon!
| content serial | Description |
|---|
| 1 | Introduction to DIP |
| 2 | Image histograms |
| 3 | Image enhancements using transformation |
| 4 | Spatial filtering |
| 5 | Morphological image processing part 1 |
| 6 | Morphological image processing part 2 |
| 7 | Image segmentation part 1 |
| 8 | Image segmentation part 2 |
| 9 | Feature extraction |
| 10 | Feature extraction and classification part 1 |
| 11 | Classification part 2 |
| 12 | Image recognition part 1 |
| 13 | Image recognition part 2 |
| 14 | Projects Discussions |
| 15 | Revision |
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