Segmentation of magnetic resonance images using discrete curve evolution and fuzzy clustering

IEEE ICIT 2007 - 2007 IEEE International Conference on Integration Technology

Volumn , Issue , 2007, Pages 697-700

  Supot, Sookpotharom ^a   Thanapong, Chaichana ^a   Chuchart, Pintavirooj ^a   Manas, Sangworasil ^a  

^a KING MONGKUT'S INSTITUTE OF TECHNOLOGY LADKRABANG   (Thailand)

Author keywords

Clustering; CT; Discrete curve evolution; Fuzzy c means; MRI; Segmentation

Indexed keywords

ATOMS; BOOLEAN FUNCTIONS; COMPUTERIZED TOMOGRAPHY; COPYING; CURVES (ROAD); ELECTRIC INSTRUMENT TRANSFORMERS; EVOLUTIONARY ALGORITHMS; FLOW OF SOLIDS; FUZZY LOGIC; FUZZY SYSTEMS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; INTEGRATION; ITERATIVE METHODS; MAGNETIC FIELDS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAGNETISM; RESONANCE;

APPLIED (CO); CLUSTER CENTERS; COMPUTATIONAL TIME; COMPUTED TOPOGRAPHY; COMPUTER TOMOGRAPHY (CT) IMAGES; CONVERGENCE TIME; DISCRETE CURVES; EXPERIMENTAL RESULTS; FUZZY C MEANS (FCM); FUZZY C MEANS (FCM) ALGORITHMS; INITIAL VALUES; INTEGRATION TECHNOLOGIES; INTERNATIONAL (CO); INTERNATIONAL CONFERENCES; ITERATIVE OPERATION; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE IMAGING (MRI); MRI IMAGES; PROTON DENSITY (PD); REGION CLUSTERING; SEGMENTATION ACCURACY;

FUZZY CLUSTERING;

EID: 46449107351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICITECHNOLOGY.2007.4290409     Document Type: Conference Paper

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