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.