As an important vision information of image, the calculation of color characteristic is simple and steady, which has been broadly used in the Content Based Image Retrieval (CBIR).The expression of image color, the extraction of the color characteristic and the matching algorithms of image likeness based on color are analyzed and discussed in this paper.First, this paper introduces the comparison to several common color spaces. On this basis, three matching algorithms of color histogram(histogram intersection, the distance of OU SHI and proportion distance) and three color-histogram methods(tradition histogram, accumulation histogram, local accumulation histogram) are discussed in this paper, the retrieval effects are contrasted through the experiments.Second, aiming at the characteristics of color histogram which are considering the color distributing in the whole image merely but not considering the color distributing in the local area of the image and considering the distributing of color set in the image merely but not considering the shape, size and position of the image object, two improved methods are brought forward in this paper: one is an image... |