Next Article in Journal
Sensitivity Analysis of General Mixed Multivalued Mildly Nonlinear Variational Inequalities
Previous Article in Journal
The Regularization-Homotopy Method for the Two-Dimensional Fredholm Integral Equations of the First Kind
Article Menu

Article Versions

Export Article

Open AccessArticle
Math. Comput. Appl. 2006, 11(2), 111-120; doi:10.3390/mca11020111

A Classification Methodology for Color Textures Using Multispectral Random Field Mathematical Models

1
Electrical Engineering Southern Methodist University Dallas, Texas 75275-0338, USA
2
Electrical and Computer Engineering The College of New Jersey Ewing, New Jersey 08628-0718, USA
*
Authors to whom correspondence should be addressed.
Published: 1 August 2006
Download PDF [329 KB, uploaded 30 March 2016]

Abstract

A large number of texture classification approaches have been developed in the past but most of these studies target gray-level textures. In this paper, supervised classification of color textures is considered. Several different Multispectral Random Field models are used to characterize the texture. 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 sixteen different color textures. A near 100% classification accuracy is achieved. The advantage of utilizing color information is demonstrated by converting color textures to gray-level ones and classifying them using gray-level random field models. It is shown that color based classification is significantly more accurate than its gray-level counterpart.
Keywords: Color Texture; Color Texture Features; Mutispectral Random Field Models; Texture Classification Color Texture; Color Texture Features; Mutispectral Random Field Models; Texture Classification
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Khotanzad, A.; Bennett, J.W.; Hernandez, O.J. A Classification Methodology for Color Textures Using Multispectral Random Field Mathematical Models. Math. Comput. Appl. 2006, 11, 111-120.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top