• DocumentCode
    2813295
  • Title

    The amount of Alaria praelonga Kjellmans analysis method from laminaria bed images for fishery investigation

  • Author

    Hagisawa, Takeshi ; Enomoto, Kazuya ; Toda, Masashi ; Tamura, Masato ; Takeda, Sakae

  • Author_Institution
    Sch. of Syst. Inf. Sci., Future Univ. Hakodate, Hakodate, Japan
  • fYear
    2011
  • fDate
    9-11 Feb. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The purpose of this research is to develop automated system for measuring the amount of target fishery resources from images which are taken with underwater camera for fishery investigation in laminaria beds in Nemuro, Japan. The image analysis technology for measuring the amount of target in laminaria beds in Nemuro is needed to develop it. In laminaria beds in Nemuro, there is no efficient method to mesuring “Needless Seaweed” which prevent the growth of laminaria. Alaria praelonga Kjellmen is one of Needless Seaweeds which has a vein on the surface. In this paper, we explain about extraction method of this vein to mesure Alaria praelonga Kjellmen from the image.
  • Keywords
    aquaculture; feature extraction; geophysical image processing; Alaria praelonga Kjellmans analysis method; Japan; Nemuro; automated system; extraction method; fishery investigation; image analysis technology; laminaria bed images; needless seaweeds; target fishery resources; underwater camera; Brightness; Cameras; Convergence; Indexes; Noise; Pixel; Veins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
  • Conference_Location
    Ulsan
  • Print_ISBN
    978-1-61284-677-4
  • Electronic_ISBN
    978-1-61284-676-7
  • Type

    conf

  • DOI
    10.1109/FCV.2011.5739709
  • Filename
    5739709