• DocumentCode
    2426882
  • Title

    Measuring Overlap-Rate in Hierarchical Cluster Merging for Image Segmentation and Ship Detection

  • Author

    Hong, Zhiling ; Jiang, Qingshan ; Guan, Heshan ; Weng, Fangfei

  • Author_Institution
    Xiamen Univ., Xiamen
  • Volume
    4
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    420
  • Lastpage
    425
  • Abstract
    In this paper, we present a definition on the degree of overlap between two clusters and develop an algorithm for calculating the overlap rate. Using this theory, we also develop a new hierarchical cluster merging algorithm for image segmentation and apply it to the ship detection in high resolution image. In our experiment, we compare our method with several existing popular methods. Experimental results demonstrate the effectiveness of the overlap rate measuring method and the new ship detection method.
  • Keywords
    image segmentation; object detection; pattern clustering; ships; hierarchical cluster merging; high resolution image; image segmentation; overlap rate measurement; ship detection; Clustering algorithms; Computer science; Histograms; Image resolution; Image segmentation; Iterative algorithms; Marine vehicles; Merging; Sea measurements; Software measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.392
  • Filename
    4406424