Tesis doctorals> Departament d'Enginyeria Informàtica i Matemàtiques

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

  • Datos identificativos

    Identificador: TDX:1581
  • Autores:

    Meléndez Rodríguez, Jaime Christian
  • Otros:

    Fecha: 2010-10-08
    Departamento/Instituto: 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
    Fuente: TDX (Tesis Doctorals en Xarxa)
    Autor: Meléndez Rodríguez, Jaime Christian
    Director: García García, Miguel Ángel Puig, Domènec
    Formato: application/pdf
    Editor: Universitat Rovira i Virgili
    Palabra clave: supervised texture segmentation unsupervised texture segmentation supervised pixel-based classification multi-sized evaluation windonws multi-level classification prototype-based classification support vector machines
    Título: Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification
    Materia: 004 supervised texture segmentation unsupervised texture segmentation supervised pixel-based classification multi-sized evaluation windonws multi-level classification prototype-based classification support vector machines
  • Palabras clave:

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