Content-based image retrieval has shown to be more and more useful for several application domains, from audiovisual media to security. As content-based retrieval became mature, different scientific applications were revealed client for such methods. More recently, botanical applications generated very large image collections and then became very demanding content-based visual similarity computation. In this paper, we describe low-level feature extraction for visual appearance comparison between genetically modified plants for gene expression studies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Content-based image retrieval in botanical collections for gene expression studies


    Contributors:
    Yahiaoui, I. (author) / Boujemaa, N. (author)


    Publication date :

    2005-01-01


    Size :

    495195 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Content-based image retrieval in botanical collections for gene expression studies

    Yahiaoui, I. / Boujemaa, N. | British Library Conference Proceedings | 2005


    Here's Waldo: Content Based Image Retrieval

    Boen, R. J. / Hensel, M. | British Library Online Contents | 1998


    A content-based image retrieval system

    Huang, C.-L. / Huang, D.-H. | British Library Online Contents | 1998



    Texture Classification for Content-Based Image Retrieval

    Pirrone, R. / La Cascia, M. / IEEE | British Library Conference Proceedings | 2001