We present a new segmentation approach by thresholding based on learning strategy. This strategy is based only on one image and its ideal thresholded version. A decision matrix is generated from each pixel and each gray level. At the moment of new image segmentation, the best solution for each pixel is evaluated by means of K nearest neighbors in the decision matrix. Comparative tests were performed on signature, fingerprint and magnetic resonance images.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Segmentation approach by learning: different image applications


    Beteiligte:
    Legal-Ayala, H.A. (Autor:in) / Facon, J. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    760186 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Segmentation Approach by Learning: Different Image Aplications

    Ayala, H. / Facon, J. / IEEE | British Library Conference Proceedings | 2003


    Image Segmentation by Learning Approach

    Legal-Ayala, H. / Facon, J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    Image segmentation by learning approach

    Legal-Ayala, H.A. / Facon, J. | IEEE | 2003


    A Learning Approach for Adaptive Image Segmentation

    Martin, V. / Thonnat, M. / Maillot, N. | IEEE | 2006


    A Lattice Approach to Image Segmentation

    Serra, J. | British Library Online Contents | 2006