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Having analyzed the drawbacks of image retrieval methods based on content, a novel image retrieval algorithm based on spacial color distribution entropy is proposed in this paper. Firstly, an image is segmented several regions by this algorithm. Secondly, spacial color distribution entropy is designed for each region, which takes not only the local color feature of the region into consideration, but also the spacial color distribution information of the region. With the robustness to rotation and translation, the algorithm avoids shortcoming of losing the location information in color histogram. Through experimental results and comparison with other methods, the proposed algorithm is effective for image retrieval.