Canny Detector: An Effective Edge Detection Algorithm

The Canny detector is a highly effective edge detection algorithm that extracts edges from target images through a multi-step process. The method involves: 1. Image smoothing using a Gaussian filter with specified standard deviation to reduce noise; 2. Calculation of local gradient magnitude and edge direction at each pixel; 3. Non-maximum suppression to thin edges by preserving only ridge tops in gradient magnitude; 4. Edge linking through hysteresis thresholding. This algorithm is widely implemented in computer vision libraries with optimized gradient computation and dual-threshold techniques.