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

摘要

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.