【摘要】 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。更多还原

【Abstract】 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.更多还原