Paper Title:
Divergence Color Histogram for Content-Based Image Retrieval
  Abstract

Combined With the color and spatial partitions of image, this paper puts forward divergence to describe the dispersion information of pixels in each annular subset, and all those divergences of annular subsets constitute the divergence color histogram. It is invariant with translation and rotation, and suitable as a basic feature of image. Finally, simulation results show the improvement of the divergence color histogram over the spatial color histogram are: 16% (annular), 27% (angular)and 26% (hybrid), so the divergence color histogram has a significant better retrieval performance.

  Info
Periodical
Edited by
Shaobo Zhong, Yimin Cheng and Xilong Qu
Pages
639-643
DOI
10.4028/www.scientific.net/AMM.50-51.639
Citation
S. X. Xia, H. B. Zhou, Y. Zhou, "Divergence Color Histogram for Content-Based Image Retrieval", Applied Mechanics and Materials, Vols. 50-51, pp. 639-643, 2011
Online since
February 2011
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Price
$32.00
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