• DocumentCode
    1942797
  • Title

    Automatic In Situ Identification of Plankton

  • Author

    Blaschko, Matthew B. ; Holness, G. ; Mattar, M.A. ; Lisin, D. ; Utgoff, P.E. ; Hanson, A.R. ; Schultz, H. ; Riseman, E.M.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA
  • Volume
    1
  • fYear
    2005
  • fDate
    5-7 Jan. 2005
  • Firstpage
    79
  • Lastpage
    86
  • Abstract
    Earth´s oceans are a soup of living micro-organisms known as plankton. As the foundation of the food chain for marine life, plankton are also an integral component of the global carbon cycle which regulates the planet´s temperature. In this paper, we present a technique for automatic identification of plankton using a variety of features and classification methods including ensembles. The images were obtained in situ by an instrument known as the flow cytometer and microscope (FlowCAM), that detects particles from a stream of water siphoned directly from the ocean. The images are of necessity of limited resolution, making their identification a rather difficult challenge. We expect that upon completion, our system will become a useful tool for marine biologists to assess the health of the world´s oceans.
  • Keywords
    biological techniques; biology computing; cellular biophysics; image classification; microorganisms; ensemble; flow cytometer; flow microscope; image classification; marine biologists; microorganisms; oceans; planktons; Chemical industry; Computer science; Image resolution; Instruments; Laboratories; Marine vegetation; Microscopy; Ocean temperature; Organisms; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on
  • Conference_Location
    Breckenridge, CO
  • Print_ISBN
    0-7695-2271-8
  • Type

    conf

  • DOI
    10.1109/ACVMOT.2005.29
  • Filename
    4129463