Image Processing algorithm from classical to Deep Learning !!!
- Histogram Computation
- Otsu's Binarization
- Depth based Extraction
- Connected Component
- MSER-
- Image intensity correction
- Contrast Stretching
- Image Rotation
- Spatial Filtering
- Radial Sinusoid and Frequency response
- Frequency Domain Filtering
- Image Deblurring
- Image Denoising
- Edge Detection
- Hough Transform
- Image classification : Feature extraction using Pretrained Vision Transformer and extracting deep feature than using KNN classifier to classify images into five different categories. Pretrained and finetuning approach.