An image search approach based on local main color feature and texture feature

The image search technique based on content becomes a hot research topic. In order to solve the problem of global histogram lacking the spatial distribution information of color, an image search method is presented. It uses fixed block segmentation for drawing the local color moments of an image. Based on this, the second search is completed by drawing the texture feature of the image. Experiments show that a ring block not only includes the spatial information of image color, but also it is characterized with the invariance of rotation and translation. The image search method of using both color and texture features can greatly improve the accuracy of the search results.