Classification of Color Textures with Random Field Models and Neural Networks

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 Multispectra...

詳細記述

保存先:
書誌詳細
出版年:Journal of Computer Science and Technology
主要な著者: Orlando J. Hernandez, John Cook, Michael Griffin, Cynthia De Rama, Michael McGovern
フォーマット: Artigo
言語:Inglês
出版事項: Universidad Nacional de La Plata 2005
主題:
Computación
Color Texture
Color Texture Features
Texture Classification
Mutispectral Random Field Models
オンライン･アクセス:https://www.redalyc.org/articulo.oa?id=638067344002
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