A new content-based color image retrieval method is proposed

in which both the color content and the spatial relationship of image have been taken into account.In order to represent the spatial distribution information of image

a disorder matrix

which has the invariance to the rotation and translation of the image content

has been designed.During the actual matching stage

the global color histogram intersection is used firstly to generate candidate image list.Then the disorder matrix representing the spatial information of the image is employed to refine the retrieval result by deleting the dissimilar images from the candidate list.Experimental results with various types of images show that the proposed method not only achieves a high image retrieval performance but also improves the retrieval precision.Furthermore

it is robust even with some rotation and translation cases.