Corner
所属分类：图形图像处理
开发工具：matlab
文件大小：139KB
下载次数：3
上传日期：2021-01-06 19:35:51
上 传 者：
hzy123.
说明： css角点检测，CSS 检测算法提取效果依赖于边缘提取结果，同时筛选角点过程中，使用单一尺度确定角点，多尺度对角点坐标定位，尺度大小的不合适都会造成角点检测的效果不佳
(The extraction effect of CSS detection algorithm depends on the result of edge extraction. In the process of corner selection, single scale is used to determine corners, multi-scale coordinates are used to locate corners, and inappropriate scale size will cause poor corner detection effect)
文件列表:
Corner\a.gif (2139, 2000-01-22)
Corner\b.gif (1707, 2000-01-22)
Corner\c.gif (1745, 2000-01-22)
Corner\canny_edge.m (11814, 2020-12-17)
Corner\corner.jpg (36888, 2020-12-17)
Corner\corner.m (13922, 2020-12-17)
Corner\cout.mat (336, 2007-10-12)
Corner\d.gif (1426, 2000-01-22)
Corner\e.gif (1759, 2000-01-22)
Corner\edge.jpg (19935, 2020-12-17)
Corner\f.gif (1879, 2000-01-22)
Corner\g.gif (1916, 2000-01-22)
Corner\gui_corner.fig (19024, 2005-05-10)
Corner\gui_corner.m (8565, 2005-05-10)
Corner\h.gif (2182, 2006-01-17)
Corner\house.bmp (66568, 2003-10-17)
Corner\Thumbs.db (40448, 2008-06-17)
Corner (0, 2020-12-17)
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 has been included in ?A Corner Detector based on Global and Local Curvature Properties?and submitted to Pattern Recognition.
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