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
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