Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Quantization and Calibration of Color Information From Machine Vision System for Beef Color Grading

소고기 육색 등급 자동 판정을 위한 기계시각 시스템의 칼라 보정 및 정량화

  • 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)
  • Published : 2007.06.25
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Abstract

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.

Keywords

References

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Cited by

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