Color image segmentation based on three levels of texture statistical evaluation
type: Item
instance of: scholarly article
title: Color image segmentation based on three levels of texture statistical evaluation
zbMATH Open document ID: 1090.68587
author: J. B. Mena
author: José A. Malpica
published in: Applied Mathematics and Computation
publication date: 2005-02-22T00:00:00Z
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 2136122
zbMATH Keywords: Color and texture segmentation
zbMATH Keywords: Theory of evidence
zbMATH Keywords: Automatic objects extraction
zbMATH Keywords: Dempster-Shafer theory
MaRDI profile type: Publication
full work available at URL: j.amc.2003.11.033
OpenAlex ID: W2161970698
cites work: Approximation algorithms and decision making in the Dempster-Shafer theory of evidence---an empirical study
cites work: Color image segmentation: advances and prospects
cites work: Q3998716
cites work: MRF clustering for segmentation of color images
cites work: Q4131415
cites work: A Comparative Study of Texture Measures for Terrain Classification
cites work: Color image segmentation using fuzzy \(C\)-means and eigenspace projections
DOI: 10.1016/J.AMC.2003.11.033
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description: scientific article; zbMATH DE number 2136122