Learning Path

Image Gradients → Edge Detection Evaluation

This path systematically covers edge detection and filtering techniques, starting from image gradients and Gaussian filtering, progressing through classic operators like Sobel, Laplacian, and Canny, and extending to advanced topics such as Gabor filters and scale-space theory. Designed for CV practitioners, it emphasizes both theoretical foundations and practical application, culminating in multiscale edge detection.