Rotation and translation invariant color image retrieval

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 improve the retrieval precision. Furthermore, it is robust even with some rotation and translation cases.