Abstract An image retrieval algorithm based on salient points is proposed. Firstly, a robust and selfadaptive extraction algorithm of salient points is introduced based on the block difference of inverse probabilities model image which was built by an improved block difference of inverse probabilities model. According to the distribution of salient points, the colorspatial feature and the shape feature are extracted to represent image properties for retrieval. The algorithm avoids the defects of interest points in the image retrieval. Furthermore, it reduces the computational complexity of traditional extraction algorithm of salient points. The experimental results demonstrate the proposed method has better performance and higher accuracy than other algorithms.
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2007, Vol. 20 
