형태학적 영상처리를 이용한 어체 측정 시스템 개발에 관한 연구
(주)코리아스칼라
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- 2023.04.05
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- 2012.11
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서지정보
ㆍ발행기관 : 한국수산해양기술학회(구 한국어업기술학회)
ㆍ수록지정보 : 수산해양기술연구 / 48권 / 4호
ㆍ저자명 : 이동길, 양용수, 김성훈, 최정화, 강준구, 김희제
영어 초록
To manage, sort, and grade fishery resources, it is necessary to measure their morphometric characteristics. This labor-intensive task involves performing repetitive operations on land and on a research vessel. To reduce the amount of labor required, a vision-based automatic measurement system (VAMS) for the measurement of morphometric characteristics of flatfish, such as total length (TL), body width (BW), and body height (BH), has been developed as part of a database management system for fishery resources management. This system can also measure the mass (M) of flatfish. In the present study, we describe a morphological image processing algorithm for the measurement of certain characteristics of flatfish. This algorithm, which involves preprocessing, edge pattern matching, and edge point detection, is effective in cases where the flatfish being measured has a deformed tail and is randomly oriented. The satisfactory performance of the proposed algorithm is also demonstrated by means of experiments involving the measurement of the BW, TL and BH of a flatfish when it is straightened (BW : 117mm, TL : 329mm, BH : 24.5mm), when its tail is deformed, and when it is randomly oriented.
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