DocumentCode :
2462307
Title :
Texture discrimination by local generalized symmetry
Author :
Bonneh, Y. ; Reisfeld, D. ; Yeshurun, Y.
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
fYear :
1993
fDate :
11-14 May 1993
Firstpage :
461
Lastpage :
465
Abstract :
Texture consists of local variance of gray level or edge intensity values. The authors have recently presented a generalized symmetry operator that captures local spatial relations of image patterns. They show that activity differences in the continuous intensity map produced by the local generalized symmetry operator can be efficiently used to detect texture boundaries. Using almost all available quantitative results of human performance in artificial texture discrimination, the authors show that the algorithm favorably compares with other computational approaches. Stressing the necessity of benchmarks for computer vision algorithms, the authors also discuss an exhaustive set of textures that could be used as experimental stimuli for both humans and machines. The performance of the algorithm is demonstrated on some of these artificial textures as well as on natural images
Keywords :
computer vision; image recognition; image segmentation; activity differences; artificial texture discrimination; artificial textures; benchmarks; computational approaches; computer vision algorithms; continuous intensity map; edge intensity values; gray level; image patterns; local generalized symmetry; local generalized symmetry operator; local spatial relations; local variance; natural images; texture boundaries; texture discrimination; Brightness; Computational modeling; Computer science; Computer vision; Humans; Image edge detection; Image segmentation; Psychology; Statistics; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
Type :
conf
DOI :
10.1109/ICCV.1993.378180
Filename :
378180
Link To Document :
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