Application of combining watershed and fast clustering method in image segmentation

ICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation

Volumn 3, Issue , 2010, Pages 170-174

  Yang, Wenli ^a   Zeng, Zhiyuan ^a   Zhang, Sizhe ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Fitness function; Image segmentation; K means clustering; Particle swarm optimization; Simulated annealing; Watershed algorithm

Indexed keywords

CLUSTERING METHODS; EDGE LINES; FITNESS FUNCTION; FITNESS FUNCTIONS; IMAGE SEGMENTS; K-MEANS CLUSTERING; LOCAL MINIMUMS; OVER SEGMENTATION; PARTICLE SWARM; PSO(PARTICLE SWARM OPTIMIZATION); WATER-SHED ALGORITHM; WATERSHED SEGMENT; WEAK EDGE;

ANNEALING; CLUSTERING ALGORITHMS; COMPUTER SIMULATION; DIGITAL IMAGE STORAGE; EDGE DETECTION; FUNCTION EVALUATION; GLOBAL OPTIMIZATION; IMAGE SEGMENTATION; LANDFORMS; MATHEMATICAL MORPHOLOGY; PARTICLE SWARM OPTIMIZATION (PSO); WATER SUPPLY SYSTEMS; WATERSHEDS;

SIMULATED ANNEALING;

EID: 77951095431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCMS.2010.407     Document Type: Conference Paper

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