COMPUTER VISION (2/1 Credits)

Learning Outcomes:

At the end of this course, students will be able to: Explain the concept of computer vision; Select the appropriate image analysis procedures; Analyze images to identify the requirements of its solution; Demonstrate the use of various algorithms of image processing and pattern recognition applications.

Topics:

1. Introduction to Computer Vision;
2. Point Based Image Processing;
3. Area Based Image Processing;
4. Edge Detection;
5. Morphological Filtering;
6. Binary Image Analysis; Segmentation;
7. Detecting Shape Using Hough Transform;
8. Pattern Recognition and Classification;
9. Stereo Construction;
10. Structure from Motion (SFM).