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

    Access Status
    Fulltext not available
    Authors
    Zhou, J.
    Liu, X.
    Xu, T.
    Gan, J.
    Liu, Wan-Quan
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhou, J. and Liu, X. and Xu, T. and Gan, J. and Liu, W. 2018. A new fusion approach for content based image retrieval with color histogram and local directional pattern. International Journal of Machine Learning and Cybernetics. 9 (4): pp. 677-689.
    Source Title
    International Journal of Machine Learning and Cybernetics
    DOI
    10.1007/s13042-016-0597-9
    ISSN
    1868-8071
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/68205
    Collection
    • Curtin Research Publications
    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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