Tesis doctorals> Departament d'Enginyeria Informàtica i Matemàtiques

Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification

  • Dades identificatives

    Identificador: TDX:1581
    Handle: http://hdl.handle.net/20.500.11797/TDX1581

  • Autors:

    Meléndez Rodríguez, Jaime Christian

  • Altres:

    Data: 2010-10-08
    Departament/Institut: Departament d'Enginyeria Informàtica i Matemàtiques Universitat Rovira i Virgili.
    Idioma: eng
    Identificador: http://hdl.handle.net/10803/8487 http://www.tdx.cat/TDX-1108110-100919 9788469376713
    Font: TDX (Tesis Doctorals en Xarxa)
    Autor: Meléndez Rodríguez, Jaime Christian
    Director: García García, Miguel Ángel Puig, Domènec
    Format: application/pdf
    Editor: Universitat Rovira i Virgili
    Paraula Clau: supervised texture segmentation unsupervised texture segmentation supervised pixel-based classification multi-sized evaluation windonws multi-level classification prototype-based classification support vector machines
    Títol: Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification
    Matèria: 004 supervised texture segmentation unsupervised texture segmentation supervised pixel-based classification multi-sized evaluation windonws multi-level classification prototype-based classification support vector machines

  • Paraules clau:

    004
    supervised texture segmentation
    unsupervised texture segmentation
    supervised pixel-based classification
    multi-sized evaluation windonws
    multi-level classification
    prototype-based classification
    support vector machines

  • Documents:

    Memoria

  • Cerca a google

    Search to google scholar