DocumentCode :
3050493
Title :
Color edge detection with the compass operator
Author :
Ruzon, Mark A. ; Tomasi, Carlo
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
Volume :
2
fYear :
1999
fDate :
1999
Abstract :
The compass operator detects step edges without assuming that the regions on either side have constant color. Using distributions of pixel colors rather than the mean, the operator finds the orientation of a diameter that maximizes the difference between two halves of a circular window. Junctions can also be detected by exploiting their lack of bilateral symmetry. This approach is superior to a multi-dimensional gradient method in situations that often result in false negatives, and it localizes edges better as scale increases
Keywords :
edge detection; compass operator; edge detection; step edges; Color; Colored noise; Computer science; Convolution; Detectors; Distributed computing; Gradient methods; Image edge detection; Multispectral imaging; Noise robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Conference_Location :
Fort Collins, CO
ISSN :
1063-6919
Print_ISBN :
0-7695-0149-4
Type :
conf
DOI :
10.1109/CVPR.1999.784624
Filename :
784624
Link To Document :
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