J4 ›› 2011, Vol. 46 ›› Issue (5): 63-66.

• Articles • Previous Articles     Next Articles

Image retrieval based on salient regions and nonsubsampled Contourlet transform

ZHANG Hui-yun, ZHANG Xin-ming, LI Shuang, GUO Wen-lu   

  1. College of Computer and Information Technology, Henan Normal University, Xinxiang 453007, Henan, China
  • Received:2010-12-06 Published:2011-05-25

Abstract:

To improve the quality of image retrieval, a new method for image retrieval is proposed based on the salient region′s histogram and non-sub-sampled Contourlet transform. First, the image was divided into the salient region and the background region with the salient points and  compute the two region′s histogram as the color features. Second, the image was decomposed by nonsubsampled Contourlet transform to get the texture information. Finally, the images were effectively retrieved with the combination of color features and texture information. Experimental results show that the proposed method has better retrieval performance and higher efficiency.

Key words: image retrieval; salient regions; histogram; non-sub-sampled Contourlet transform

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