Color Image Retrieval Algorithm Based on Texton
Fang Dai · Computer Systems and Applications · 2011
In this paper,a content-based image retrieval algorithm using texton and color is proposed.Firstly,it converts color image from RGB color space to HSV color space and quantizes the color image into 256 colors.Then texton-images can be extracted based on the five texton types which are defined for image analysis.Finally,color features of texton-images are represented by color histogram whose similarity can be measured by the improved cross color histogram.Experimental results indicate that:the proposed algorithm can effectively remove the effects of the background color and can make a better description on the color image texture and edge features possessing higher rates of precision and recall compared with the edge detection method.