Classification of color textures with random field models and neural networks

Autor:	Orlando J. Hernandez, John Cook, Michael Griffin, Cynthia De Rama, Michael McGovern
Jazyk:	angličtina
Rok vydání:	2005
Předmět:	color texture color texture features mutispectral random field models texture classification Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Journal of Computer Science and Technology, Vol 5, Iss 03, Pp 150-157 (2005)
Druh dokumentu:	article
ISSN:	1666-6046 1666-6038
Popis:	A number of texture classification approaches have been developed in the past but most of these studies target graylevel textures. In this work, novel results are presented on Neural Network based classification of color textures in a very large heterogeneous database. Several different Multispectral Random Field models are used to characterize the textures. The classifying features are based on the estimated parameters of these model and functions defined on them. The approach is tested on a database of 73 different color textures classes. The advantage of utilizing color information is demonstrated by converting color textures to gray-level ones and classifying them using Grey Level Co-Occurrence Matrix (GLCM) based features.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5f6825226c8747bca0b6f52f2ee4769b Zobrazit plný text záznamu View record in DOAJ