Image retrieval system based on the combination color texture and shape characteristics
Hongli Liu · Journal of Hunan University of Arts and Science · 2009
The gray level co-occurrence matrix is an effective method of texture image analysis,in order to improve the performance of image retrieval,the author defines a new kind of co-occurrence matrix descriptors,the co-occurrence matrix descriptors can effectively combine color texture and shape features,the content-based image retrieval is finished by describing the spatial correlation of pixels.Using of the matrix descriptor for image retrieval,the first color gradients is calculated in the RGB color space,and then the gray level co-occurrence matrix describe image features.Experimental results show that the retrieval performance are better than the traditional gray level co-occurrence matrix.