Universal Edge Detection Function

A universal edge detection function capable of implementing Sobel, Prewitt, Roberts, Marr, and Canny edge detection algorithms through different parameter inputs. This function serves as a fundamental tool in computer vision for analyzing edge information in images. The implementation typically involves gradient calculation for Sobel/Prewitt/Roberts operators, Laplacian-of-Gaussian (LoG) for Marr edge detection, and multi-stage processing (Gaussian smoothing, gradient computation, non-maximum suppression, hysteresis thresholding) for Canny detection. By adjusting different operators and parameters, users can obtain varied edge detection results tailored to specific requirements. In fields like image processing and pattern recognition, edge detection constitutes a fundamental task for extracting critical edge features from images. This universal function offers significant practical value, enabling researchers and developers to perform edge detection tasks more efficiently in image processing and computer vision applications through a unified interface with configurable algorithm selection and parameter tuning.