This paper proposes a novel texture feature extraction technique for texture image retrieval. The method is robust to geometric distortions as well as noise effect. The geometric distortions include rotation, scaling and translation modifications of textures. In the feature extracting process, log-polar transformed autocorrelation images are introduced to eliminate the effects of the entire distortions. The influence of additive noise is reduced by modifying autocorrelation images. In the retrieval process, valuable wavelet packet statistics is used to measure similarity between individual images. The effectiveness of our method is demonstrated using noisy distorted texture image database in the experimental simulations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust feature extraction technique for texture image retrieval


    Beteiligte:
    Zhuo Liu, (Autor:in) / Wada, S. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    230034 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Feature Extraction Technique for Texture Image Retrieval

    Liu, Z. / Wada, S. | British Library Conference Proceedings | 2005


    Rotation-invariant texture feature for image retrieval

    Pun, C.-M. | British Library Online Contents | 2003


    Regular-texture image retrieval based on texture-primitive extraction

    Lin, H.-C. / Wang, L.-L. / Yang, S.-N. | British Library Online Contents | 1999


    Robust-to-rotation texture descriptor for image retrieval in wavelets domain

    Jiang, J. / Weng, Y. / Guo, B. et al. | British Library Online Contents | 2006