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