Texture image segmentation based on stationary wavelet transform and FCM

Stationary wavelet transform is used to decompose texture image for image segmentation. The texture features are extracted from the wavelet coefficient energy. Then fuzzy c-means clustering method (FCM) is used to complete the texture image segmentation. In order to progress the accurateness and efficiency of texture image segmentation, the improved segmentation method is presented. The progress is divided into two steps. The first step is coarse segmentation, then detecting the boundary of segmentation for accurate segmentation. The experiment results show that the improved method is efficient.