MATLAB Code Implementation for Edge Detection and Object Extraction

Edge Detection Implementation: 1. Create a monochrome image containing color blocks and lines, apply low-pass filtering to generate a degraded image with blurred edges, then detect edges using any two edge detection algorithms to produce binary result images. Extract boundary coordinates from the results and compare with original coordinate data to analyze detection errors. 2. Object Extraction: Capture a black/white or color photo containing target objects, apply an edge detection algorithm for automatic object extraction, and analyze the results with implementation insights on MATLAB functions like edge(), imfilter(), and bwboundaries().