DocumentCode :
2538182
Title :
High Resolution Sonar Image Segmentation by PSO Based Fuzzy Cluster Method
Author :
Liu Hongpo ; Sun Jun ; Wu Hai ; Teng Shuhua ; Tan Zhiguo
Author_Institution :
Sch. of Software & Technol., Henan Polytech. Inst., Nanyang, China
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
18
Lastpage :
21
Abstract :
In this paper, we manage to use the clustering method realize sonar image segmentation. A particle swarm optimization (PSO) based FCM algorithm (PSO-FCM) is proposed which PSO incorporate with Fuzzy Clustering Method (FCM). The algorithm takes the clustering result of PSO as the initialization of the FCM, and uses fuzzy measures and fuzzy integrals to express the adapt function. At last, the algorithm is applied to the high resolution sonar image segmentation. Segmentation results of FCM and PSO-FCM for several sonar images are compared, which show that the PSO-FCM algorithm has better performance and fit for the sonar image segmentation better than the FCM does.
Keywords :
fuzzy set theory; image resolution; image segmentation; pattern clustering; sonar imaging; fuzzy cluster method; fuzzy integrals; fuzzy measures; high resolution sonar image segmentation; particle swarm optimization; Classification algorithms; Clustering algorithms; Image resolution; Image segmentation; Particle swarm optimization; Pixel; Sonar; fuzzy clustering method; image segmentation; particle swarm optimization; sonar image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Type :
conf
DOI :
10.1109/ICGEC.2010.13
Filename :
5715360
Link To Document :
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