A Multi-Resolution Texture Segmentation Algorithm Based on Co-occurrence Matrix

This paper presents a model of statistical multi-resolution unsupervised texture segmentation algorithm and re-alization based on the co-occurrence matrix to improve the deficiency that some usually used statistical texture-based Feature Description methods.The main deficiency is that some of the usually used methods only extracted the texture feature in a single scale.The experiment results show that the advantage of this algorithm is it's lower in error recog-nition rate than the usually used methods.