The traditional co occurrence matrix is an effective approach in texture image analysis. It is widely used in the research sense of image comprehension and computer vision. In order to improve the performance of image retrieval

a new kind of co occurrence matrix descriptor are introduced as novel features for image retrieval. It can describes the spatial correlation of four pixels. During the course of image retrieval using the co occurrence matrix descriptor

color gradient is computed from the RGB color space

then describe the image characteristic by four pixels co occurrence matrix and use to image retrieval is described. Experimental results have shown that four pixels co occurrence matrix descriptor can combine color

texture and shape characteristic

the performances are better than that of gray level co occurrence matrices and color correlograms.