为改进现有基于颜色-纹理特征的图像检索算法在反映空间分布信息方面的不足，提出了一种基于MPEG-7区域综合特征匹配的图像检索算法(FIM-RBIR)：首先按类粗分辨率对图像进行区域划分，再综合图像区域的颜色、纹理特征实现有效检索。实验结果表明，FIM-RBIR算法比SIMPLIcity系统的检索效果有了比较显著的改进，平均检索性能提高了433%，具有较好的平均查准率和鲁棒性。

In order to improve the current image retrieval methods based on color and texture which are deficient in describing the spatial relations, in this paper, a new method called features integrated matching for region based image retrieval（FIM-RBIR) is proposed. At first, the image is segmented using a coarser resolution scheme, then the color and texture features of sub-regions are combined to achieve the image retrieval. The experimental results show that the FIM-RBIR algorithm is more accurate than the SIMPLIcity method, the average retrieval performance has been raised by 4.33%, better average precision ratio and robustness has been obtained.