Computer Vision, Graphics, and Image Processing
Corner detection from chain-code
Pattern Recognition
Contour Tracking and Corner Detection in a Logic Programming Environment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Corner detection in natural images based on the 2-D Hilbert transform
Signal Processing
A gray-level corner detector using fuzzy logic
Pattern Recognition Letters
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Corner Detection and Interpretation on Planar Curves Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ridge's corner detection and correspondence
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Corner Detection with Covariance Propagation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Bayesian labelling of corners using a grey-level corner image model
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Curvature Scale Space for Robust Image Corner Detection
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A mean field annealing approach to robust corner detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes a new corner detection algorithm based on the Hough Transform. The basic idea is to find the straight lines in the images and then search for their intersections, which are the corner points of the objects in the images. The Hough Transform is used for detecting the straight lines and the inverse Hough Transform is used for locating the intersection points among the straight lines, and hence determine the corner points. The algorithm was tested on various test images, and the results are compared with well-known algorithms.