This paper proposes a novel image retrieval algorithm based on wavelet packet histogram techniques. Firstly, we decompose an image with a family of real orthonormal wavelet bases and compute the energy using wavelet packet coefficients. Secondly, we select few number of most dominant energy channels for thresholding and non-linear filtering. Finally, we compute the wavelet packet histogram as features and employ histogram intersection distance to retrieve queried image from image databases, the proposed method employs a smaller feature space and involves as less computation cost in the feature extraction. The experimental results show that these techniques can archive higher performance in the image retrieval.


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    Title :

    A novel image retrieval algorithm using wavelet packet histogram techniques


    Contributors:
    Zhiyong Zeng, (author) / Lihua Zhou, (author)


    Publication date :

    2006-01-01


    Size :

    3372145 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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