Texture segmentation based on FCM algorithm combined with GLCM and space information

A novel method for texture segmentation based on fuzzy C-means(FCM) algorithm combined with gray level co occurrence matrices(GLCM) and space information is proposed. In the proposed method, four statistics extracted from GLCM of the image are used as texture features of the image. And these texture features combining with two space information features extracted from the image are used as features space for clustering. The experimental results indicate that the proposed method can get better segmentation results and effectively enhance the segmentation precision of rough texture.