Image’s texture feature detection has many applications in the pornographic images monitoring and web images filtering. This paper described the methods of texture analysis and the texture characteristics of the skin

then gave the texture detection method based on gray level co-occurrence matrix. Through the experiments

the paper inferred the key parameters of the grey level number and the offset value in the grey level co-occurrence matrix computing. The experiment conclusion shows that contrast and energy are the best texture indexes which could distinguish the skin area and non-skin area.