Share Email Print
cover

Proceedings Paper

New texture segmentation approach based on multiresoluton MRFs with variable weighting parameters in wavelet domain
Author(s): Guoying Liu; Leiguang Wang; Wei Xie; Qianqing Qin; Yingguang Li
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861O (15 November 2007); doi: 10.1117/12.748620
Show Author Affiliations
Guoying Liu, Wuhan Univ. (China)
Changsha Univ. of Science and Technology (China)
Leiguang Wang, Wuhan Univ. (China)
Wei Xie, Wuhan Univ. (China)
Qianqing Qin, Wuhan Univ. (China)
Yingguang Li, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

© SPIE. Terms of Use
Back to Top