Circle Fitting in Images

This is a highly efficient MATLAB code implementation designed for fitting circular objects in digital images. The algorithm employs advanced techniques such as Hough transform or least-squares optimization to accurately detect and fit circles of various sizes and shapes. The implementation includes robust edge detection preprocessing and circle parameter estimation methods, ensuring precise fitting for both simple complete circles and complex circular arcs. Key functions include automated circle detection, radius calculation, and center point localization with sub-pixel accuracy. Using this code, you can effectively handle circle fitting tasks in image processing and computer vision applications. The implementation features optimized computational efficiency for rapid processing while maintaining high precision. In both scientific research and engineering fields, this code serves as a valuable tool for better understanding and analyzing circular objects in images, with applications ranging from industrial inspection to biomedical image analysis.