Image Processing Edge Detection with MATLAB Implementation

This powerful MATLAB-based image processing edge detection program incorporates various commonly used edge detection methodologies. The implementation includes several key algorithms: Sobel operator for gradient-based edge detection using horizontal and vertical derivatives, Canny edge detector with optimized noise reduction and hysteresis thresholding, and Prewitt operator for simplified gradient calculations. The program allows users to extract image edges efficiently while providing additional functions for post-processing and edge analysis. Through configurable parameters like threshold values and sigma parameters for Gaussian filtering, users can achieve precise edge localization and optimize detection results based on specific image characteristics. The code structure includes modular functions for each detection method, enabling easy customization and algorithm comparison. Whether you're a professional image processing engineer or an enthusiast exploring computer vision techniques, this program serves as a comprehensive tool for understanding image structures and features through reliable edge detection implementations.