Development of Apple Color Grading System by Statistical Color Image Processing



Lim, Dong-Hoon

  • 발행 : 2003.08.01


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.


apple grading;image processing;edge detection;T-test;chain code


  1. 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.
  2. Pattern Recognition v.19 no.3 pp.209-219 Nonparametric tests for edge in noise Bovik,A.C.;Huang,J.S.;Munson,D.C.
  3. 경북대학교 대학원 석사학위논문 영상처리식 사과 선별기 개발 손재룡
  4. Trans. ASAE v.29 no.5 pp.1388-1397 Apple sorting with machine vision Rehkugler,G.E.;Throop,J.A.
  5. Trans. ASAE v.28 no.5 pp.1714-1718 Computer vision based system for quality separation of fresh market tomatoes Sakar,N.;Wolfe,R.R.
  6. Transactions on Electronic Computers v.EC10 pp.260-268 On the encoding of arbitrary geometric configurations Freeman,H.
  7. Trans. ASAE v.32 no.4 pp.1484-1490 A color vision system for peach grading Miller,B.K.;Delwiche,M.J.
  8. 한국농업기계학회지 v.16 no.3 pp.272-280 영상처리장치를 이용한 사과의 색택 판정 노상하;유관희;김성민
  9. 응용통계연구 v.16 no.1 pp.129-140 통계적 영상처리를 이용한 과일 선별 시스템 개발 임동훈
  10. 한국농업기계학회지 v.22 no.2 pp.217-226 컴퓨터 시각에 의한 사과 결점 검출 서상룡;성제훈
  11. Journal of the Royal Statistical Society Series D-The Statistician v.51 no.1 pp.21-30 Comparison of two-sample tests for edge detection in noisy images Lim,D.H.;Jang,S.S.