Extracting Image Contours and Identifying Corner Points with Coordinates Output

This example demonstrates a MATLAB implementation for extracting image contours and identifying corner points with coordinate output. The implementation begins with MATLAB's image processing toolbox functions such as edge detection algorithms (e.g., Canny or Sobel) to extract precise image contours. Subsequently, we apply curvature analysis techniques to detect corner points along the contour path, typically using methods like Harris corner detection or analyzing local curvature maxima. The algorithm calculates curvature values at each contour point and identifies significant curvature changes as corner locations. Key functions involved include imgradient for gradient calculation, bwperim for contour extraction, and custom curvature computation scripts. The final output provides precise (x,y) coordinates of detected corners, facilitating further analytical processing. This example offers practical insights into MATLAB's image processing capabilities and teaches fundamental techniques for extracting and analyzing critical image features through programmable implementations.