A new hybrid algorithm for image segmentation based on rough sets and enhanced fuzzy C-means clustering

Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009

Volumn , Issue , 2009, Pages 1212-1216

  Zhang, Wei ^a   Zhang, Yu Zhu ^b   Li, Cheng ^a  

^a QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b LUOYANG INSTITUTE OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Enhanced fuzzy c means; Image segmentation; Magnetic resonance image; Rough sets

Indexed keywords

BRAIN MR; CLINICAL ANALYSIS; ENHANCED FUZZY C-MEANS; FUZZY C MEAN; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS ALGORITHMS; GRAY LEVEL IMAGE; HUMAN COGNITION; HUMAN TISSUES; HYBRID ALGORITHMS; MAGNETIC RESONANCE IMAGES; MATHEMATICAL FRAMEWORKS; MR IMAGES; ROUGH SET; SEGMENTATION ALGORITHMS; SEGMENTATION PROCESS; SPEED-UPS;

COPYING; DIGITAL IMAGE STORAGE; FUZZY CLUSTERING; FUZZY SETS; FUZZY SYSTEMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; ROUGH SET THEORY;

CLUSTERING ALGORITHMS;

EID: 70450182925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2009.5262701     Document Type: Conference Paper

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