Edge Feature Extraction: Local Gradient Maximums and Orientation Detection
Edge feature extraction involves calculating local maximums and orientations of image gradients. In practical implementations, differential operators are formalized and computed using fast convolution functions. Common operators include gradient operators, Laplacian operators, and Canny operators. The Canny edge detector represents a modern approach with superior edge detection performance, gaining widespread adoption. It utilizes the first derivative of Gaussian functions to achieve optimal balance between noise suppression and edge detection precision.