Image Retrieval Based on Improved Entropy and Moments

Authors:
Junding Sun
Affiliations:
Henan Polytechnic University, China
Venue:
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Year:
2006

Citing 0
Cited 2

Shape retrieval based on the relativity of chain codes

MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Medical image retrieval, indexing and enhancement techniques: a survey

Proceedings of the 2011 International Conference on Communication, Computing & Security

Quantified Score

Hi-index	0.00

Visualization

Abstract

Entropy and moments have been widely used in image retrieval. However, perceptually dissimilar color histograms have similar entropy and moments by traditional methods if they have similar probability distribution. In order to remove such influence, three improved methods, histogram sorting, histogram area and the combination of the above two, are presented in this paper. Experiments show that the proposed algorithms are more effective in image retrieval than the traditional methods.