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

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

Author Affiliations +

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available