Detection and separation of generic‐shaped objects by fuzzy clustering

DOI10.1108/17563781011066684zbMath1207.68258OpenAlexW2090858147MaRDI QIDQ3059776

M. Ameer Ali, Gour C. Karmakar, Laurence S. Dooley

Publication date: 30 November 2010

Published in: International Journal of Intelligent Computing and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/17563781011066684

zbMATH Keywords

fuzzy controlimage processingfuzzy clustering algorithms

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Logic in artificial intelligence (68T27) Pattern recognition, speech recognition (68T10)

Cites Work

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• FUZZY SHELL-CLUSTERING AND APPLICATIONS TO CIRCLE DETECTION IN DIGITAL IMAGES
• Geometric continuity, shape parameters, and geometric constructions for Catmull-Rom splines
• An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
• C-Bézier Curves and Surfaces
• Suppressed fuzzy c-means clustering algorithm

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