Method of texture segmentation based on wavelet-transform and GMRF

In order to improve the accuracy and region homogeneity as well as to reduce the error rate in texture segmentation, the paper proposes a novel approach based on wavelet and gaussian markov random field (GMRF). The original image is first processed with Gabor wavelet-transform, then processes with GRMF-clustering algorithm for getting the pre-segmented image, and at last uses feature weighting for processing the above pre-segmented image. As a result, the present approach shows visible improvements both in reducing the segmentation error and in improving the precision, comparing to the method which is proposed in the paper [5].