DocumentCode :
2747979
Title :
Application of Snake Model Based on PSO in the Image Segmentation
Author :
Wang, Kejun ; Guo, Qingchang ; Zhuang, Dayan ; Chu, Hongxia ; Fu, Bin
Author_Institution :
Dept. of Autom., Harbin Eng. Univ.
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
9637
Lastpage :
9640
Abstract :
For exactly segmenting the object in the image, an algorithm of image segmentation according to PSO (particle swarm optimization) and snake model was proposed. The PSO has some advantages, such as the global optimization, sensitive degree low for noise. The drawbacks of the traditional snake model which are the high noise sensitive degree and local optimization are overcome by the combination of PSO and snake. It is proved by experiment that preferable image segmentation result is gotten based on the algorithm
Keywords :
feature extraction; image segmentation; particle swarm optimisation; global optimization; image segmentation; object segmentation; particle swarm optimization; snake model; Automation; Image segmentation; Intelligent control; Particle swarm optimization; PSO; global optimization; image segmentation; snake model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713872
Filename :
1713872
Link To Document :
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