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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    Titel :

    A novel image retrieval algorithm using wavelet packet histogram techniques


    Beteiligte:
    Zhiyong Zeng, (Autor:in) / Lihua Zhou, (Autor:in)


    Erscheinungsdatum :

    01.01.2006


    Format / Umfang :

    3372145 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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