Content-based image retrieval using combination features
Kuang Hang · Computer Engineering and Applications Journal · 2009
A new method combing color shape and spatial feature for efficient image retrieval is proposed in this paper.Color feature is extracted by the histogram,shape feature is extracted by zernike moments and spatial analysis is performed by computing the bar centre and the standard deviation of the distribution of colors.In order to improve the retrieval performance,a relevance feedback based on support vector machines is proposed.It is demonstrated that the image retrieval based on multi-feature is superior than which based on single feature.