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Development of Apple Color Grading System by Statistical Color Image Processing

  • Lim, Dong-Hoon (Department of Information Statistics and research Institute of Natural Science, Research Institute of Computer and Information Communication, Gyeong National University)
  • 발행 : 2003.08.01

초록

This study was to develop a system for grading apples by their color using statistical image processing. T-test was used to detect edges in apple images and the chain code method was used for contour coding. The histogram and mean gray level of each RGB channel in a ring-shaped region was used to compare apple colors to reference apple color.

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참고문헌

  1. 한국농업기계학회지 v.16 no.3 영상처리장치를 이용한 사과의 색택 판정 노상하;유관희;김성민
  2. 한국농업기계학회지 v.22 no.2 컴퓨터 시각에 의한 사과 결점 검출 서상룡;성제훈
  3. 경북대학교 대학원 석사학위논문 영상처리식 사과 선별기 개발 손재룡
  4. 응용통계연구 v.16 no.1 통계적 영상처리를 이용한 과일 선별 시스템 개발 임동훈 https://doi.org/10.5351/KJAS.2003.16.1.129
  5. Pattern Recognition v.19 no.3 Nonparametric tests for edge in noise Bovik,A.C.;Huang,J.S.;Munson,D.C. https://doi.org/10.1016/0031-3203(86)90011-7
  6. Proc. Int. Symp. Speech, Image Processing and Neural Networks A new edge detection algorithm based on a statisticial approach Fesharaki,N.N.;Hellestrand,G.R.
  7. Transactions on Electronic Computers v.EC10 On the encoding of arbitrary geometric configurations Freeman,H.
  8. Journal of the Royal Statistical Society Series D-The Statistician v.51 no.1 Comparison of two-sample tests for edge detection in noisy images Lim,D.H.;Jang,S.S. https://doi.org/10.1111/1467-9884.00295
  9. Trans. ASAE v.32 no.4 A color vision system for peach grading Miller,B.K.;Delwiche,M.J. https://doi.org/10.13031/2013.31177
  10. Trans. ASAE v.29 no.5 Apple sorting with machine vision Rehkugler,G.E.;Throop,J.A. https://doi.org/10.13031/2013.30327
  11. Trans. ASAE v.28 no.5 Computer vision based system for quality separation of fresh market tomatoes Sakar,N.;Wolfe,R.R. https://doi.org/10.13031/2013.32505