I took a multidimensional DSP course which also covered machine learning image classification and object detection. The class covered a various subjects starting from classical computer vision techniques and machine learning techniques.
Here are the list of topics I coded for:
- Histogram Eqalization
- Basic Morphology
- Image Filtering
- Spatial Domain Filtering
- Frequency Domain Filtering
- Thresholding
- Canny Edge Detection
- Hough Transform
- Background Subtraction
- Gaussian Mixture Model
- Image Classification
- Transfer Learning
All of the codes can be found in this github repo