Circle Detection Program Using Hough Transform
MATLAB-based Hough transform program for circle detection with robust performance and extensible architecture
Circle Detection Program using Hough Transform
Hough Transform is a powerful tool for detecting lines and circles in image processing, featuring a comprehensive implementation example for circle detection with detailed code explanations.
Detecting Circle Radius in Digital Images
Methods for detecting circle radius, center coordinates, and implementation programs in digital images with algorithmic explanations
Circle Detection Program Using Hough Transform
The input image must be grayscale. Usage: [accumulator_values, circle_centers, circle_radii] = CircularHough_Grd(gray_image, [min_diameter max_diameter]); This method can detect multiple circles within the same image, implementing gradient-based Hough transform for robust circle detection.
Circle Detection in MATLAB Environment
Detecting circles in MATLAB typically involves processing binary images after binarization, for example using edge detectors. Standard functions usually require specifying the exact circle radius. The circle_hough function enables circle detection by specifying a range of radii, eliminating the need for precise prior knowledge of the radius. This approach can be faster than repeatedly calling standard functions with different radii. The algorithm can detect multiple circles by finding peaks in a 3D accumulator array, with circle_houghpeaks function provided for peak detection and circle parameter extraction.