Module: CS4132 - Image Processing and Computer Vision
Semester: 7th
Lecturer: Dr. Kaneeka Vidanage
Welcome to the comprehensive collection of notes and codes from the CS4132 module on Image Processing and Computer Vision, taught during the 7th semester under the expert guidance of Dr. Kaneeka Vidanage. This repository encapsulates the key concepts, algorithms, and practical implementations covered throughout the course.
- 0. Introduction Notes
- 1. Basic Image Processing
- 2. Optical Character Recognition - OCR
- 3. Region Of Interest
- 4. Intelligent Template Matching
- 5. Live Object Detection Using Mobile Net
- 6. Image Processing With Deep Neural Nets
- 7. Gun Holding Detection
- 8. Multiclass Classification
- 9. Emotion Detection using DeepFace
- 10. Handwritten Character Recognition Using MLP
- 11. Handwritten Character Recognition Using CNN
Navigate through the organized folders to access detailed notes, code snippets, and practical examples for each topic. This repository serves as a valuable resource for reviewing the theoretical foundations and implementing hands-on solutions in the realm of image processing and computer vision.
Special thanks to Dr. Kaneeka Vidanage for her insightful lectures and guidance, which have greatly contributed to the depth of understanding reflected in these notes and codes.
Feel free to explore, learn, and apply these materials to further your knowledge in the fascinating field of Image Processing and Computer Vision.