Automated techniques to optimize feature descriptor weights and select optimum feature descriptor subset are desirable as a way to enhance the performance of content based image retrieval system. In our system, all the MPEG-7 image feature descriptors including color descriptors, texture descriptors and shape descriptors are used to represent low-level image features. We use a real coded chromosome genetic algorithm (GA) and k-nearest neighbor (k-NN) classification accuracy as fitness function to optimize weights. Meanwhile, a binary one and k-NN classification accuracy combining with the size of feature descriptor subset as fitness function are used to select optimum feature descriptor subset. Furthermore, we propose two kinds of two-stage feature selection schemes for weight optimization and descriptor subset selection, which are the integration of a real coded GA and a binary one. The experimental results over 2000 classified Corel images show that with weight optimization, the accuracy of image retrieval system is improved; with the selection of optimum feature descriptor subset, both the accuracy and the efficiency are improved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Feature Selection Based on Genetic Algorithm for CBIR


    Contributors:
    Zhao, Tianzhong (author) / Lu, Jianjiang (author) / Zhang, Yafei (author) / Xiao, Qi (author)


    Publication date :

    2008-05-01


    Size :

    409650 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Dominant color region based indexing for CBIR

    Ravishankar, K.C. / Prasad, B.G. / Gupta, S.K. et al. | IEEE | 1999


    Dominant Color Region based Indexing for CBIR

    Ravishankar, K. / Prasad, B. / Gupta, S. et al. | British Library Conference Proceedings | 1999


    Qatris iManager: a general purpose CBIR system

    Barrena, M. | British Library Online Contents | 2015


    Live Cloud based dynamic Fuzzy Semantic Relevance Matrix based CBIR

    Saini, Pawandeep / Singh, Hardeep | BASE | 2017

    Free access

    Genetic algorithm based feature selection for target detection in SAR images

    Bhanu, B. / Lin, Y. | British Library Online Contents | 2003