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.
         
        
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
         
        
            Conference_Location : 
Dalian
         
        
            Print_ISBN : 
1-4244-0332-4
         
        
        
            DOI : 
10.1109/WCICA.2006.1713872