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

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