Image retrieval based on combined features of interest points

Abstract

Due to the spatial distribution expression power of the ring areas,this paper proposed a new image retrieval algorithm based on color feature and texture feature of interest points,introducing the ring area into the Gabor wavelet texture features.At first,this algorithm used adaptive smoothing filter to eliminate noises and detected interest points by the Speeded Up Robust Feature(SURF) operator.Then,it calculated the color histogram and texture feature of interest points in the ring area,as image's combined features.Finally,it output similar images according to the similarity of the combined features.The experimental results show that this algorithm improves the average retrieval accuracy by more than 7%.