One-class texture classifier in the CCR feature space

A one-class classifier in the coordinated clusters representation (CCR) feature space is proposed in order to form classes with a required homogeneity with respect to given features of texture images. Experiments with gray level texture images of Brodatz catalog and “Rosa Porriño” polished granites...

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Bibliographic Details
Published inPattern recognition letters Vol. 24; no. 9-10; pp. 1503 - 1511
Main Authors Sánchez-Yáñez, Raúl E, Kurmyshev, Evguenii V, Fernández, Antonio
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2003
Subjects
Coordinated clusters representation
One-class classifier
Texture
Visual inspection
Coordinated clusters representation
Texture
One-class classifier
Visual inspection
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Summary:A one-class classifier in the coordinated clusters representation (CCR) feature space is proposed in order to form classes with a required homogeneity with respect to given features of texture images. Experiments with gray level texture images of Brodatz catalog and “Rosa Porriño” polished granites demonstrate high discrimination performance of the criterion. The compactness of a class of images in the CCR feature space is determined by the class variance and, in addition, controlled by an empirical adjustment parameter.
ISSN:0167-8655
1872-7344
DOI:10.1016/S0167-8655(02)00389-6