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

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: https://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:

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