A Corner Detector based on Global and Local Curvature Properties
CORNER works by the following step:
1. Apply the Canny edge detector to the grey level image and obtain a binary edge-map.
2. Extract the edge contours from the edge-map, fill the gaps in the contours.
3. Compute curvature at a low scale for each contour to retain all true corners.All of the curvature local maxima are considered as initial corner candidates.
4. Initial corner candidates are compared using an adaptive local threshold to remove the round corners.
5. The angles of corner candidates are evaluated to eliminate any false corners due to quantization noise and trivial details. The above evaluation is based on a dynamic region of support, which changes according to its adjacent corner candidates.
6. End points of contours are considered with an additional criterion.
Algorithm is derived from:
X.C. He and N.H.C. Yung, "Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support", Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004.
Improved algorithm of above has been published in:
X.C. He and N.H.C. Yung, “Corner detector based on global and local curvature properties”, Optical Engineering, 47(5), pp: 057008, 2008. (This paper is included in corner.rar for reference)
引用格式
Xiaochen He (2024). A Corner Detector based on Global and Local Curvature Properties (https://www.mathworks.com/matlabcentral/fileexchange/7652-a-corner-detector-based-on-global-and-local-curvature-properties), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Region and Image Properties >
标签
致谢
启发作品: Robust Image Corner Detection based on the Chord-to-Point Distance Accumulation Technique, A Fast Corner Detector Based on the Chord-to-Point Distance Accumulation Technique
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!