Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically histogram-based algorithms are considered to be effective for color image indexing. We suggest a new method of color space quantization in the CIELUV color space, named weighted LUV quantization. With this method, each bin in the LUV space has a different weighting factor, which is applied to the histogram intersection. The weighted LUV histogram intersection provides the advantage of perceptual uniformity of the CIELUV color space. An additional advantage is the consideration of perceptual sensitivity to more saturated colors by the use of a weighting factor.


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    Title :

    Image indexing using weighted color histogram


    Contributors:
    Du-Sik Park (author) / Jong-Seung Park (author) / Tae Yong Kim (author) / Joon Hee Han (author)


    Publication date :

    1999-01-01


    Size :

    173029 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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