The Classification Study of Texture Image Based on the Rough Set Theory

This paper proposes an automatic classification model based on rough set theory for texture image. The features from texture image are extracted by the gray level co-occurrence Matrix (GLCM), then some redundant features of them are reduced under the background of knowledge reduction of rough set theory in order to mine classification rules of texture images. And experiment shows that this model has higher classification accuracy for the automatic classification of decorative stone images.