Journal of Biosystems Engineering

  • 제32권3호
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  • Pages.160-165
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  • 2007
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  • 1738-1266(pISSN)
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  • 2234-1862(eISSN)
한국농업기계학회 (Korean Society for Agricultural Machinery)
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소고기 육색 등급 자동 판정을 위한 기계시각 시스템의 칼라 보정 및 정량화

Quantization and Calibration of Color Information From Machine Vision System for Beef Color Grading

  • Kim, Jung-Hee (Dept. of Biomechatronic Engineering, Faculty of Life Science & Technology, Sungkyunkwan University) ;
  • Choi, Sun (Dept. of Biomechatronic Engineering, Faculty of Life Science & Technology, Sungkyunkwan University) ;
  • Han, Na-Young (Dept. of Biomechatronic Engineering, Faculty of Life Science & Technology, Sungkyunkwan University) ;
  • Ko, Myung-Jin (Dept. of Biomechatronic Engineering, Faculty of Life Science & Technology, Sungkyunkwan University) ;
  • Cho, Sung-Ho (Dept. of Biomechatronic Engineering, Faculty of Life Science & Technology, Sungkyunkwan University) ;
  • Hwang, Heon (Dept. of Biomechatronic Engineering, Faculty of Life Science & Technology, Sungkyunkwan University)
  • 발행 : 2007.06.25
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초록

This study was conducted to evaluate beef using a color machine vision system. The machine vision system has an advantage to measure larger area than a colorimeter and also could measure other quality factors like distribution of fats. However, the machine vision measurement is affected by system components. To measure the beef color with the machine vision system, the effect of color balancing control was tested and calibration model was developed. Neural network for color calibration which learned reference color patches showed a high correlation with colorimeter in L*a*b* coordinates and had an adaptability at various measurement environments. The trained network showed a very high correlation with the colorimeter when measuring beef color.

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참고문헌

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피인용 문헌

  1. Automatic Extraction of Lean Tissue for Pork Grading vol.39, pp.3, 2014, https://doi.org/10.5307/JBE.2014.39.3.174