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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 4/2018

22-09-2016 | Original Article

A new fusion approach for content based image retrieval with color histogram and local directional pattern

Authors: Ju-xiang Zhou, Xiao-dong Liu, Tian-wei Xu, Jian-hou Gan, Wan-quan Liu

Published in: International Journal of Machine Learning and Cybernetics | Issue 4/2018

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Abstract

In this paper, we propose a novel color image retrieval approach by using an effective fusion of two types of histograms extracted from color and local directional pattern (LDP), respectively. First, we describe the extraction process of color histogram and LDP. Secondly we present these two features and then develop an effective fusion procedure including feature normalization and a new similarity metric. Thirdly, this new approach is validated after extensive comparisons with several existing state of the art approaches on two benchmark datasets including the Wang’s dataset and large size of the Corel-10000 dataset. Finally, a friendly interface for this proposed retrieval system is designed and used to show some retrieval results.
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Metadata
Title
A new fusion approach for content based image retrieval with color histogram and local directional pattern
Authors
Ju-xiang Zhou
Xiao-dong Liu
Tian-wei Xu
Jian-hou Gan
Wan-quan Liu
Publication date
22-09-2016
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 4/2018
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-016-0597-9

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