Book Content
chapters • 16h24m total length
1. Getting started with Image Processing
2. Sampling Fourier Transform
3. Convolution and Frequency domain Filtering
4. Image Enhancement
5. Image Enhancement using Derivatives
6. Morphological Image Processing
7. Extracting Image Features and Descriptors
8. Image Segmentation
9. Classical Machine Learning Methods
10. Learning in Image Processing - Image Classification with CNN
11. Object Detection, Deep Segmentation and Transfer Learning
12. Additional Problems in Image Processing
