New neutrosophic approach to image segmentation

DOI10.1016/J.PATCOG.2008.10.002zbMath1178.68492OpenAlexW2963972644MaRDI QIDQ1010067

Yanhui Guo, H. D. Cheng

Publication date: 3 April 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.10.002

zbMATH Keywords

entropyindeterminacyimage segmentationneutrosophic set\(\gamma \)-means clustering

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (6)

A new picture fuzzy information measure based on Shannon entropy with applications in opinion polls using extended VIKOR-TODIM approach ⋮ A hybrid model of single valued neutrosophic sets and rough sets: single valued neutrosophic rough set model ⋮ The theory of neutrosophic cubic sets and their applications in pattern recognition ⋮ A NOVEL IMAGE SEGMENTATION APPROACH BASED ON NEUTROSOPHIC SET AND IMPROVED FUZZY C-MEANS ALGORITHM ⋮ Multi-attribute decision making method based on aggregated neutrosophic set ⋮ Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A clustering fuzzy approach for image segmentation
• Image segmentation with a fuzzy clustering algorithm based on ant-tree
• A modified fuzzy \(C\)-means image segmentation algorithm for use with uneven illumination patterns
• A NEW NEUTROSOPHIC APPROACH TO IMAGE DENOISING
• Fuzzy sets
• Color image segmentation: advances and prospects

This page was built for publication: New neutrosophic approach to image segmentation