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Volume 29 Issue 4
Jan.  2011
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Zhao Shan, Cui Jiang-tao, Zhou Li-hua. Image Retrieval Based on Bit-plane Distribution Entropy[J]. Journal of Electronics & Information Technology, 2007, 29(4): 795-799. doi: 10.3724/SP.J.1146.2006.00009
Citation: Zhao Shan, Cui Jiang-tao, Zhou Li-hua. Image Retrieval Based on Bit-plane Distribution Entropy[J]. Journal of Electronics & Information Technology, 2007, 29(4): 795-799. doi: 10.3724/SP.J.1146.2006.00009

Image Retrieval Based on Bit-plane Distribution Entropy

doi: 10.3724/SP.J.1146.2006.00009
  • Received Date: 2006-01-04
  • Rev Recd Date: 2006-07-25
  • Publish Date: 2007-04-19
  • The content-based image retrieval on histogram is analyzed and a novel image retrieval algorithm is proposed based on bit-plane distribution entropy. Firstly, the image is divided into eight bit-planes by the image bit-plane-code. Then, an entropy vector is constructed by computing the entropy of the four significant planes which contain most of the structural information of the image. Meantime, the gray-code of bit-planes is used to avoid the effect of changes in the image intensity values on bit-planes. Finally the Mahalanobis distance is adopted to measure the similarity because of the correlation between the concerned vectors after designing the correlation-weighted matrix. Experimental results show that the proposed method has sound retrieval performance.
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