Residential College | false |
Status | 已發表Published |
New shadowed fuzzy C-means algorithm for image segmentation | |
Chen L.; Chen S. | |
2016-10-07 | |
Conference Name | 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS) |
Source Publication | 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2016 |
Pages | 43-46 |
Conference Date | AUG 26-29, 2016 |
Conference Place | Jinzhou, PEOPLES R CHINA |
Abstract | This manuscript introduces a new clustering based image segmentation method. By implanting the concept of shadowed set in the estimation procedure for cluster centers, one new algorithm named shadowed modified C-mean algorithm (SMFCM) is proposed. The results on noise image segmentation demonstrate the shadowed modified fuzzy C-mean is better than some traditional approaches when the noise rate is high. |
Keyword | Fuzzy Clustering Image Segmentation Shadowed Set |
DOI | 10.1109/ICCSS.2016.7586420 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Cybernetics ; Engineering, Electrical & Electronic |
WOS ID | WOS:000390239500009 |
Scopus ID | 2-s2.0-84994387585 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Affiliation | Universidade de Macau |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Chen L.,Chen S.. New shadowed fuzzy C-means algorithm for image segmentation[C], 2016, 43-46. |
APA | Chen L.., & Chen S. (2016). New shadowed fuzzy C-means algorithm for image segmentation. 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2016, 43-46. |
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