Edge Detection Program with Sobel, Prewitt, Roberts, Marr, and Canny Operators

This MATLAB-based edge detection program implements five key edge detection algorithms: Sobel, Prewitt, Roberts, Marr, and Canny operators. Each algorithm employs distinct gradient calculation methods and thresholding techniques to effectively identify edges in digital images. The program includes optimized convolution operations using MATLAB's built-in functions like conv2() and edge() for efficient gradient computation, with customizable threshold parameters for sensitivity adjustment. These edge detection methods help extract critical image features and structural information, making them valuable for image processing, computer vision, and pattern recognition applications. The implementation allows users to select appropriate operators based on specific requirements - Sobel/Prewitt for general-purpose detection, Roberts for diagonal edges, Marr-Hildreth for zero-crossing detection, and Canny for optimal balance between noise robustness and edge localization. The code structure facilitates easy integration with image preprocessing pipelines and supports various image formats through MATLAB's image processing toolbox. This program provides researchers and developers with a comprehensive toolkit for advancing their image analysis projects.