Image Texture Analysis Based on Gray Level Co-Occurrence Matrix

This paper studies the algorithm of Gray Level Co-occurrence Matrix (GLCM), explains the concrete meaning of 14 texture features based on GLCM, and points out the redundancy among texture features. Through the calculation and analysis of the gray level co-occurrence matrix of texture image and the experiments of texture feature extraction, it is shown that the gray level co-occurrence matrix can reflect the features of the image, and corresponds to the features of the image described by the texture features. At the same time, there is a certain degree of redundancy among the 14 texture features of the image. In practice, we can choose several prominent texture features to classify the image according to the difference of texture features. The analysis of texture features and experimental results are of great significance to the application of image texture features.