MATLAB Code Implementation for Image Edge Detection

This document provides MATLAB code for image edge detection. The implementation can perform efficient edge detection on input images and extract edge features from the images. By utilizing this code, users can gain better understanding of edge structures within images and conduct further analysis and processing. The edge detection algorithm employed in this code typically involves gradient-based methods such as Sobel, Prewitt, or Canny operators, which calculate intensity gradients to identify significant transitions in pixel values. Such edge detection techniques have widespread applications in image processing and computer vision fields, including object detection, image segmentation, and edge enhancement. Therefore, learning and mastering this MATLAB code is essential for researchers and developers working in related domains. The implementation may include key functions like edge() with various method parameters, imgradient() for gradient calculation, or custom convolution operations using kernel filters for specific edge detection requirements.