Abstract
Color is a basic element of image content and is one of the main sensing features for recognizing images. Color histogram is widely used to retrieve images and the processing mostly concerns the choice and quantization of color space, the definition of color histogram and the distance of two images in color histogram space. In this paper, three key questions on how to make use of the characteristic of color are discussed, that is, expression of color, obtain of the characteristic of color and measurement of similarity. HSV color space can describe characteristic of color well, generalized histogram and block dominant color matrix can express the color distribution well. Experiment results show that the new algorithm proposed in this paper is more efficient and can significantly improve the precision rate.
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