• 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