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