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Journal of Visualization

, Volume 10, Issue 3, pp 259–260 | Cite as

Detection and removal of jellyfish using underwater image analysis

  • Matsuura F. 
  • Fujisawa N. 
  • Ishikawa S.
Short Paper

Keywords

Image Noise Thermal Power Station Removal System Color Image Segmentation Manual Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. del Fresno, M., Macchi, A., Marti, Z., Dick, A. and Clausse, A., Application of Color Image Segmentation to Estrus Detection, Journal of Visualization, 9-2 (2006), 171–178.CrossRefGoogle Scholar
  2. Foster, M., Petrell, R., Ito, M. R. and Ward, R., Detection and Counting of Uneaten Food Pellets in a Sea Cage Using Image Analysis, Aquacultural Engineering, 14 (1995), 251–269.CrossRefGoogle Scholar
  3. Ishikawa, S. and Ikeda, T., Development of New System for Removing Jellyfish from Sea Water Intake, The Thermal and Nuclear Power, 20 (2006),160–165 (in Japanese).Google Scholar
  4. Kiuchi, M., Fujisawa, N. and Tomimatsu, S., Performance of a PIV System for Combusting Flow and Its Application to a Spray Combustor Model, Journal of Visualization, 8-3 (2005), 269–276.Google Scholar
  5. Tillett, R. D., Bull, C. R. and Lines, J. A., An Optical Method for the Detection of Sea Lice, Leopeophtheirus Salmonis, Aquacultural Engineering, 21 (1999), 33–48CrossRefGoogle Scholar

Copyright information

© The Visualization Society of Japan 2007

Authors and Affiliations

  • Matsuura F. 
    • 1
  • Fujisawa N. 
    • 1
  • Ishikawa S.
    • 2
  1. 1.Visualization Research CenterNiigata UniversityNiigataJapan
  2. 2.Higashi-Niigata Thermal Power StationTohoku Electric Power Co., Inc.Japan

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