New texture segmentation approach based on multiresoluton MRFs with variable weighting parameters in wavelet domain

Guoying Liu; Leiguang Wang; Wei Xie; Qianqing Qin; Yingguang Li

doi:10.1117/12.748620

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15 November 2007 New texture segmentation approach based on multiresoluton MRFs with variable weighting parameters in wavelet domain

Guoying Liu, Leiguang Wang, Wei Xie, Qianqing Qin, Yingguang Li

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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67861O (2007) https://doi.org/10.1117/12.748620
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, a new texture segmentation method based on MRMRF in wavelet domain is proposed. Unlike the common used MRMRF, a variable weighting parameter is employed to combine the feature field and the labeling field, which makes the two random fields dominant successively in the procedure of image segmentation and makes it possible to get a more accurate segmentation result. Experimental results demonstrate that the proposed method is effective for texture image segmentation.

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Guoying Liu, Leiguang Wang, Wei Xie, Qianqing Qin, and Yingguang Li "New texture segmentation approach based on multiresoluton MRFs with variable weighting parameters in wavelet domain", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861O (15 November 2007); https://doi.org/10.1117/12.748620

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