MATLAB Program for Circle Detection Using Standard Hough Transform with Specified Radius

This MATLAB program employs the standard Hough transform to detect circles in binary images while allowing users to specify the target circle radius. The implementation follows a systematic approach where the input image is first converted to a binary format using appropriate thresholding techniques. The core algorithm utilizes the Hough transform method to process the binary image, specifically designed for circular pattern recognition. The program's key functionality lies in its parameter specification capability - users can define the exact radius of circles to be detected, enabling precise identification of circular objects within the image. This implementation is particularly valuable for computer vision and image processing applications requiring accurate circle detection. The algorithm works by accumulating votes in Hough parameter space for potential circle centers that match the specified radius, then identifying peaks that correspond to actual circles in the image. Through this program, users can efficiently locate circular structures in images with high accuracy, facilitating subsequent analysis and processing tasks. The implementation includes optimized functions for edge detection, Hough space computation, and peak detection to ensure robust performance across various image types. This makes it suitable for applications such as industrial inspection, medical imaging, and robotics where circle detection is fundamental to the analysis pipeline.