Study of Texture Images Extraction Based on Gray Level Co-Occurence Matrix

The non-spectral characteristics play an important role in assisting the image classification in remote sensing, as these characteristics can avoid the mistake classification maken by the "the same object with different spectrum" phenomenons. The texture ch aracteristic is one kind of non-spectral characteristics. It is also helpful to improve the classification precision. In this paper, co-occurrence matrix applied to extract the texture images based on pixel level is discussed and experiments are carried out to analyze this method.