Texture image segmentation based on estimating the local statistical features

This work is aimed at studying the efficiency of the features based on texture energy measures when solving the image segmentation problem. An algorithm for feature space generation based on the texture energy measures is proposed. The texture features are used for segmentation of diagnostic crystallogram images. Using test texture images, the segmentation quality is estimated and the feature efficiency is studied when solving the texture segmentation problem.