Korean Journal of Fisheries and Aquatic Sciences (한국수산과학회지)

The Korean Society of Fisheries and Aquatic Science (한국수산과학회)
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Development of a Fish Size Grading Machine Using an Image Processing Method

화상처리법을 이용한 어체 크기 선별기의 개발

  • KIM Sang-Bong (Department of Mechanical Engineering Pukyoung National University) ;
  • KIM Hwan-Seong (Research center for Ocean Industrial Development Pukyoung National University) ;
  • KIM Sung-Kyn (Department of Mechanical Engineering Pukyoung National University) ;
  • JEON Yang-Bae (Department of Mechanical Engineering Pukyoung National University)
  • 김상봉 (부경대학교 기계공학과) ;
  • 김환성 (부경대학교 해양개발산업연구소) ;
  • 김성규 (부경대학교 기계공학과) ;
  • 전양배 (부경대학교 기계공학과)
  • Published : 1998.05.01
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Abstract

Generally, the conventional fish size grading methods just adopt the mechanical technique. So the grading methods have a problem such that the graded fish is easy to hurt on the skin and in the internal organs. In this paper, a fish size grading machine is developed using an image processing method. The grading method is based on the principal axis theorem. The length and projected area of a fish are obtained by getting the principal axis and the product of inertia moment on the captured image of a target fish. The developed machine uses an uncontact technique that the target fishes go through the front side of the CCD camera. So the above stated problem can be improved. The performance of this method is discussed with the experimental results.

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