Title :
Supervised classification of marble textures using support vector machines
Author :
Martínez-Alajarín, J.
Author_Institution :
Dept. de Electron., Univ. Politecnica de Cartagena, Spain
fDate :
5/27/2004 12:00:00 AM
Abstract :
A novel approach is described for the supervised classification of marble textures in different classes according to visual appearance, using sum and difference histograms for texture analysis and feature extraction, and support vector machines for classification. Results show very good discrimination between classes.
Keywords :
feature extraction; image classification; image texture; learning (artificial intelligence); support vector machines; SVM; difference histogram; feature extraction; marble textures; sum histogram; supervised classification; support vector machines; texture analysis; visual appearance;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20040446
