In order to reduce the effect of the accurate image segmentation on the content-based image retrieval,a new image retrieval algorithm based on uniform region segmentation was proposed. At first, the image was segmented using uniform region,and then the histogram color feature and Gabor wavelet texture future were extracted. Finally,a reson-able similarity measure was designed to improve the retrieval efficiency. The experiments results show that the algorithm in this paper is more accurate than SIMPLIcity system. The average retrieval performance is increased by 3. 6%. Better average precision ratio is obtained%为减少图像分割准确性对基于内容的图像检索效率的影响,提出了一种基于均匀区域分割的图像检索算法.首先对图像进行均匀区域划分,提取其区域直方图颜色特征和Gabor小波纹理特征,再利用与所提取的图像特征相适应的相似性度量实现有效检索.实验结果表明,与SIMPLIcity系统相比,该算法平均检索性能提高了3.6％,具有良好的平均查找率.
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