• DocumentCode
    3166284
  • Title

    Determination of water quality in fresh water lakes

  • Author

    Thiel, S.U. ; Ware, J.A.

  • Author_Institution
    Glamorgan Univ., UK
  • fYear
    1995
  • fDate
    4-6 Jul 1995
  • Firstpage
    662
  • Lastpage
    666
  • Abstract
    Algae can play an important role in both the long and short term determination of water quality in freshwater lakes, reservoirs and rivers. However, the manual identification of these algae can be a time consuming and problematic task. This paper describes an automated computer based system that uses image processing techniques to aid this process. In particular, a comparison is made between different classification techniques. The automated system is able to identify seven species of blue-green algae and two species of green algae
  • Keywords
    environmental science computing; geophysical signal processing; hydrological techniques; image classification; neural nets; remote sensing; automated computer based system; blue-green algae; classification techniques; fresh water lakes; green algae; identification; image processing techniques; reservoirs; river; water quality;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1995., Fifth International Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-85296-642-3
  • Type

    conf

  • DOI
    10.1049/cp:19950742
  • Filename
    465609