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Proceedings Paper

Texture segmentation based on Markov random field model and multidirectional mosaics
Author(s): Xiaoli Jiao; Wen Sheng
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Paper Abstract

This paper presents a texture segmentation approach based on Gauss-Markov random field(GMRF) model and multi-directional mosaics. Image texture is modeled by the second order GMRF model and the least error estimation is employed for the solution of model parameters. In order to improve the segmentation accuracy of uncertain area in boundary region between different textures, we introduced Laws energy masks and directional mosaics to obtain energy and orientation feature. And Euclidean distance approach is employed to classify different features. Experiments show that accuracy of texture segmentation can be improved.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539026
Show Author Affiliations
Xiaoli Jiao, Air Force and Radar Academy (China)
Peking Univ. (China)
Wen Sheng, Air Force Radar Academy (China)
Peking Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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