Explore MATLAB source code curated for "霍夫变换" with clean implementations, documentation, and examples.
A self-developed MATLAB program implementing Hough transform for detecting lines meeting specific conditions, featuring detailed parameter explanations and optimization guidance
Implementing line detection using Hough Transform - a straightforward and efficient approach for line recognition in image processing
Extract edges from an image and implement Hough transform to detect circular patterns in the image with code-based methodology
Implementation of line detection algorithm using Hough transform with configurable threshold parameters to control line output
Implementation and Application of Hough Transform for Line Detection
An alternative implementation of Hough Transform that demonstrates excellent performance in straight line detection, featuring optimized parameter space mapping and voting mechanisms.
Applying Hough Transform to detect and output straight lines in input images using pixel coordinate transformation and line parameter accumulation techniques.
This method implements K-means clustering algorithm in LAB color space for image segmentation combined with Hough transform for circle detection, providing a comprehensive approach to circular object identification in digital images.
This implementation demonstrates Hough Transform functionality matching the examples from Chapter 10 of Gonzalez's Digital Image Processing book, complete with visualizations and code annotations for linear and circular feature detection algorithms.
Detecting image edges through Sobel operator and Hough transform, calculating inter-edge distances using MATLAB implementation with gradient computation and line detection algorithms