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서지반출
Development of Mobile Type Computer Vision System and Lean Tissue Extraction Algorithm for Beef Quality Grading
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  • Development of Mobile Type Computer Vision System and Lean Tissue Extraction Algorithm for Beef Quality Grading
  • Development of Mobile Type Computer Vision System and Lean Tissue Extraction Algorithm for Beef Quality Grading
저자명
최선,황헌,Choi. S.,Huan. Le Ngoc,Hwang. H.
간행물명
바이오시스템공학
권/호정보
2005년|30권 6호|pp.340-346 (7 pages)
발행정보
한국농업기계학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Major quality features of the beef carcass in most countries including Korea are size, marbling state of the lean tissue, color of the fat and lean tissue, and thickness of back fat of the 13th rib. To evaluate the beef quality, extracting loin parts from the sectional image of the 13th beef rib is crucial and is the first step. However, because of the inhomogeneous distribution and fuzzy pattern of the fat and lean tissues on the beef cut, it is difficult to extract automatically the proper contour of the lean tissue. In this paper, a prototype mobile beef quality measurement system, which can be implemented practically at the beef processing site was developed. The developed system was composed of the hand held image acquisition unit and mobile processing unit mounted with touch-pad screen. Algorithms to extract the boundary of the lean tissue and a proper tool to evaluate the marbling status have been developed using color image processing. The boundary extraction algorithm showed successful results for the beef cuts with simple and moderate patterns of the lean tissue and fat. However, it had some difficulty in eliminating complex pattern of the extraneous tissues adhered to the lean tissue in the boundary extraction. The developed algorithms were implemented to the prototype mobile processing unit.