一种基于图像显著特征点的检索算法

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Abstract An image retrieval algorithm based on salient points is proposed. Firstly, a robust and selfadaptive 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 colorspatial 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.

Key words： ContentBased Image Retrieval(CBIR) Salient Points Block Difference of Inverse Probabilities Model (BDIP)

Received: 05 June 2006

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	Articles by authors
	ZHAO Shan
	CUI JiangTao
	ZHOU LiHua

Cite this article:

ZHAO Shan,CUI JiangTao,ZHOU LiHua. Image Retrieval Algorithm Based on Salient Points[J]. , 2007, 20(3): 382-387.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2007/V20/I3/382

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