DocumentCode :
2991782
Title :
Texture segmentation using Voronoi polygons
Author :
Tuceryan, Mihran ; Jain, Anil K. ; Lee, Ywhyng
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
fYear :
1988
fDate :
5-9 Jun 1988
Firstpage :
94
Lastpage :
99
Abstract :
The authors have developed a texture-segmentation algorithm based on the Voronoi tessellation. The algorithm first builds the Voronoi tessellation of the tokens that make up the image. It then computes a set of features from the Voronoi polygons. Finally, it performs a probabilistic relaxation labeling on the tokens, to identify the interior and the border regions of the textures. The algorithm has successfully segmented images containing textures whose primitives have identical second order statistics
Keywords :
picture processing; probability; statistical analysis; Voronoi polygons; Voronoi tessellation; image segmentation; probabilistic relaxation labeling; statistics; texture-segmentation; Gabor filters; Image segmentation; Image texture analysis; Labeling; Layout; Signal analysis; Signal processing; Signal processing algorithms; Statistics; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
ISSN :
1063-6919
Print_ISBN :
0-8186-0862-5
Type :
conf
DOI :
10.1109/CVPR.1988.196220
Filename :
196220
Link To Document :
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