Image Edge Detection Using Four Operators (Sobel, Prewitt, Roberts, Marr) with MATLAB Implementation

This MATLAB source code demonstrates edge detection implementation using four distinct operators: Sobel, Prewitt, Roberts, and Marr. These widely-used image processing operators help identify edges and contours in digital images through gradient-based and Laplacian-based approaches. The Sobel and Prewitt operators utilize 3x3 convolution kernels to approximate horizontal and vertical gradients, while the Roberts operator employs 2x2 kernels for diagonal edge detection. The Marr operator (also known as the Marr-Hildreth operator) uses Gaussian smoothing followed by Laplacian filtering for scale-space edge detection. By comparing results from these operators, users can gain deeper insights into image structures and features, enabling more comprehensive analysis for computer vision applications. Understanding these operators' implementations is crucial for image processing and computer vision enthusiasts, particularly through hands-on MATLAB coding experience with edge detection techniques.