Implementation of Computer Vision Algorithms in Python. The contents of homework are:
- HW1: Basic linear algebra and image manipulation using python (completed)
- HW2: Linear filters, convolution and correlation (completed)
- HW3: Canny edge detector and Hough transform (completed)
- HW4: K-Means and HAC methods for clustering and image segmentation (completed)
- HW5: Image compression using SVD; kNN methods for image recognition; PCA and LDA to improve kNN (completed)
Grade Received:
| Homework | Score |
|---|---|
| HW1 | 110/100 |
| HW2 | 105/100 |
| HW3 | 100/100 |
| HW4 | Not yet graded |
| HW5 | Not yet graded |