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A modified fuzzy color histogram using vision perception variation of pixels at different location

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Abstract

The fuzzy linking color histogram considers not only the similarity of different colors from different bins but also the dissimilarity of those colors assigned to the same bin. Moreover, it projects the three-dimension histogram onto the one single-dimension histogram, which reduces the complexity of computation. Spatial fuzzy linking color histogram (SFLCH) combines fuzzy linking color histogram with spatial information that describes the color distribution of pixels in different regions. Meanwhile, the concept “color complexity” is defined in histogram similarity measure in order to add the influence of human vision perception to image retrieval. Compared with other methods, the modified fuzzy color histogram is proved to be more accurate and effective for the content-based image retrieval from the experimental results.

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  1. (http://utopia.duth.gr/~konkonst/html/pics.html)

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Acknowledgments

This work was supported by Talent Special Foundation of Taiyuan Science and Technology Project No.120247-28.

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Authors and Affiliations

  1. College of Information Engineering, Taiyuan University of Technology, No.79 West Yingze Street, Taiyuan, 030024, Shanxi, China

    Jie Zhao & Gang Xie

  2. Department of Computer Engineering, Taiyuan University, No.18 South Dachang Road, Taiyuan, 030012, Shanxi, China

    Jie Zhao

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  1. Jie Zhao
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  2. Gang Xie
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Correspondence to Gang Xie.

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Zhao, J., Xie, G. A modified fuzzy color histogram using vision perception variation of pixels at different location. Multimed Tools Appl 75, 1261–1284 (2016). https://doi.org/10.1007/s11042-014-2367-6

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  • DOI: https://doi.org/10.1007/s11042-014-2367-6

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