Color image segmentation based on three levels of texture statistical evaluation

DOI10.1016/J.AMC.2003.11.033zbMath1090.68587OpenAlexW2161970698MaRDI QIDQ1763215

J. B. Mena, José A. Malpica

Publication date: 22 February 2005

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2003.11.033

zbMATH Keywords

Dempster-Shafer theoryAutomatic objects extractionColor and texture segmentationTheory of evidence

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (2)

An unconditionally stable numerical method for bimodal image segmentation ⋮ Evaluation for uncertain image classification and segmentation

Cites Work

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• Color image segmentation using fuzzy \(C\)-means and eigenspace projections
• Approximation algorithms and decision making in the Dempster-Shafer theory of evidence---an empirical study
• A Comparative Study of Texture Measures for Terrain Classification
• MRF clustering for segmentation of color images
• Color image segmentation: advances and prospects

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