Approximating the statistical distribution of color histogram for content-based image retrieval

With the rapid development of multimedia technologies, the problem of how to retrieve a specified image from a large amount of image databases becomes an important issue. We propose a new method by approximating the statistical distribution of color histogram for image indexing and comparison. It becomes simple to compute the distance measure of two images by the proposed method. Also, our proposed method tolerates the generally considered problems when retrieving images such as transition, scaling and rotation. The represented features of the approximated distribution of the color histogram can also be used as the indices for the image database. Experimental results show that our proposed method is quite effective not only for the performance but also better results for image indexing and retrieval