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Identify a Specified Fish Species by the Co-occurrence Matrix and AdaBoost

  • Lifeng ZhangEmail author
  • Akira Yamawaki
  • Seiichi Serikawa
Part of the Studies in Computational Intelligence book series (SCI, volume 569)

Abstract

Today, the problem that invasive alien species threaten the local species is seriously happening on this planet. This happening will lost the biodiversity of the world. Therefore, in this paper, we propose an approach to identify and exterminate a specialized invasive alien fish species, the black bass. We combined the boosting method and statical texture analysis method for this destination. AdaBoost is used for fish detection, and the co-occurrence matrix is used for specified species identification. We catch the body texture pattern after finding the fish-like creature, and make a judgement based on several statistical evaluation parameter comes from co-occurrence matrix. Simulation result shows a reasonable possibility for identify a black bass from other fish species.

Keywords

Face Recognition Invasive Alien Species AdaBoost Algorithm Body Texture OpenCV Library 
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.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Lifeng Zhang
    • 1
    Email author
  • Akira Yamawaki
    • 1
  • Seiichi Serikawa
    • 1
  1. 1.Department of Electrical and Electronic EngineeringKyushu Institute of TechnologyFukuokaJapan

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