Color image segmentation using multispectral random field texture model & color content features

This paper describes a color texture-based image segmentation system. The color texture information is obtained via modeling with the Multispectral Simultaneous Auto Regressive (MSAR) random field model. The general color content characterized by ratios of sample color means is also used. The image...

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Detalles Bibliográficos
Autores principales: Hernandez, Orlando J., Khotanzad, Alireza
Formato: Articulo
Lenguaje:Inglés
Publicado: 2004
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9495
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct04-3.pdf
Aporte de:
id I19-R120-10915-9495
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Color, shading, shadowing, and texture
Segmentation
spellingShingle Ciencias Informáticas
Color, shading, shadowing, and texture
Segmentation
Hernandez, Orlando J.
Khotanzad, Alireza
Color image segmentation using multispectral random field texture model & color content features
topic_facet Ciencias Informáticas
Color, shading, shadowing, and texture
Segmentation
description This paper describes a color texture-based image segmentation system. The color texture information is obtained via modeling with the Multispectral Simultaneous Auto Regressive (MSAR) random field model. The general color content characterized by ratios of sample color means is also used. The image is segmented into regions of uniform color texture using an unsupervised histogram clustering approach that utilizes the combination of MSAR and color features. The performance of the system is tested on two databases containing synthetic mosaics of natural textures and natural scenes, respectively
format Articulo
Articulo
author Hernandez, Orlando J.
Khotanzad, Alireza
author_facet Hernandez, Orlando J.
Khotanzad, Alireza
author_sort Hernandez, Orlando J.
title Color image segmentation using multispectral random field texture model & color content features
title_short Color image segmentation using multispectral random field texture model & color content features
title_full Color image segmentation using multispectral random field texture model & color content features
title_fullStr Color image segmentation using multispectral random field texture model & color content features
title_full_unstemmed Color image segmentation using multispectral random field texture model & color content features
title_sort color image segmentation using multispectral random field texture model & color content features
publishDate 2004
url http://sedici.unlp.edu.ar/handle/10915/9495
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct04-3.pdf
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