A NOVEL IMAGE SEGMENTATION APPROACH BASED ON NEUTROSOPHIC SET AND IMPROVED FUZZY C-MEANS ALGORITHM

DOI10.1142/S1793005711001858zbMath1211.68480OpenAlexW1976501736MaRDI QIDQ2997916

H. D. Cheng, Yanhui Guo, Ying-Tao Zhang

Publication date: 10 May 2011

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

Full work available at URL: https://doi.org/10.1142/s1793005711001858

zbMATH Keywords

fuzzy clusteringindeterminacyimage segmentationneutrosophic set

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

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• New neutrosophic approach to image segmentation
• A modified fuzzy \(C\)-means image segmentation algorithm for use with uneven illumination patterns
• A NEW NEUTROSOPHIC APPROACH TO IMAGE DENOISING
• An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
• Fuzzy sets
• Color image segmentation: advances and prospects
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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