Motion compensated image processing and optimal parameters for egg crack detection using modified pressure

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• 作者：Seung Chul Yoon (1) seungchul.yoon@ars.usda.gov
  Kurt C. Lawrence (1)
  Deana R. Jones (1)
  Gerald W. Heitschmidt (1)
  Bosoon Park (1)
• 关键词：Egg crack detection – ; Microcrack – ; Motion estimation and compensation – ; Modified pressure
• 刊名：Sensing and Instrumentation for Food Quality and Safety
• 出版年：2011
• 出版时间：December 2011
• 年：2011
• 卷：5
• 期：5
• 页码：172-184
• 全文大小：1.2 MB
• 参考文献：1. E.C.D. Todd, Int. J. Food Microbiol. 30, 125 (1996)
  2. M.M. Bain, N. MacLeod, R. Thomson, J.W. Hancock, Poult. Sci. 85, 2001 (2006)
  3. D.R. Jones, K.C. Lawrence, S.C. Yoon, G.W. Heitschmidt, Poult. Sci. 89, 761 (2010)
  4. USDA, Agricultural Marketing Service, United States standards, grades, and weight classes for shell eggs. AMS-56 (2000)
  5. USDA, Agricultural Marketing Service, “Egg-grading manual,” Agricultural Handbook Number 75, (2000)
  6. USDA, Agricultural Marketing Service, Regulations governing the voluntary grading of shell eggs. 7 CFR Part 56 (2008)
  7. K.C. Lawrence, S.C. Yoon, G.W. Heitschmidt, D.R. Jones, B. Park, Sens. Instrum. Food Qual. Saf. 2, 116 (2008)
  8. K.C. Lawrence, S.C. Yoon, D.R. Jones, G.W. Heitschmidt, B. Park, W.R. Windham, Trans. ASABE 52, 983 (2009)
  9. K.C. Lawrence, Y.C. Yoon, G.W. Heitschmidt, D.R. Jones, B. Park, V.A. Savage, U.S. Patent 7,796,241, 2010
  10. X. Deng, W. Wang, H. Chen, H. Xie, Comput. Electron. Agric. 70, 135 (2010)
  11. B. DeKetelaere, P. Coucke, J. DeBaerdemaeker, J. Agric. Eng. Res. 76(2), 157 (2000)
  12. B. DeKetelaere, F. Bamelis, B. Kemps, E. Decuypere, J. Debaerdemaeker, World’s Poult. Sci. J. 60, 289 (2004)
  13. J. Lin, Y. Lin, M. Hsieh, C. Yang, ASAE Paper No. 016032. St. Joseph, MI (2001)
  14. P. Coucke, Unpublished PhD Dissertation, Katholieke Universiteit Leuven, 1998
  15. G.N. Bliss, U.S. Patent 3,744,299, 1973
  16. R.T. Elster, J.W. Goodrum, Trans. ASAE 34(1), 307 (1991)
  17. J.W. Goodrum, R.T. Elster, Trans. ASAE 35(4), 1323 (1992)
  18. A.M. Tekalp, in Digital Video Processing (Prentice Hall, Upper Saddle River, 1995)
  19. A. Yilmaz, O. Javed, M. Shah, ACM Comput. Surv. 38(4), 1–45 (2006)
  20. http://www.darpagrandchallenge.com/
  21. L. Tang, L.F. Tian, Trans. ASABE 51(3), 1079 (2008)
  22. Y. Yang, M.D. Schrock, Trans. ASABE 36(4), 1229 (1993)
  23. J.M. Sanchiz, F. Pla, J.M. Marchant, SPIE Conference on Enhanced and Synthetic Vision, p. 287, 1998
  24. F. Cointault, P. Sarrazin, M. Paindavoine, Precis. Agric. 4, 279 (2003)
  25. W. Hu, T. Tan, L. Wang, S. Maybank, IEEE Trans. Syst. Man Cybern. C 34(3), 334 (2004)
  26. H.L. Chou, C.C. Tseng, U.S. Patent Application Pub. No. 2011/0157392 A1, 2011
  27. H. V. Poor, in An Introduction to Signal Detection and Estimation (Springer, New York, NY)
  28. M. Gonen, SUGI 31 Proceedings, Paper 210-31, 2006
  29. N. Ancona, G. Cicirelli, E. Stella, A. Distante, IEEE ICPR, 2, p. 426, 2002
  30. E.F. Schisterman, N.J. Perkins, A. Liu, H. Bondell, Epidemiology 16(1), 73 (2005)
• 作者单位：1. Richard Russell Research Center, U.S. Department of Agriculture, Agricultural Research Service, 950 College Station Rd., Athens, GA 30605, USA
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Food Science
  Chemistry
  Engineering, general
  
• 出版者：Springer New York
• ISSN：1932-9954

文摘

Shell eggs with microcracks are often undetected during egg grading processes. In the past, a modified pressure imaging system was developed to detect eggs with microcracks without adversely affecting the quality of normal intact eggs. The basic idea of the modified pressure imaging system was to apply a short burst of vacuum within a transparent chamber in order to cause a momentary and forced opening in the egg shell with a crack and thus to utilize the changes in image intensities during this process. The intensity changes from dark to bright in the shell surface were recorded by a high-resolution digital camera and processed by an image ratio technique. However, the performance of the imaging system was compromised by both false readings due to motion of intact eggs relative to the camera and an improper selection of parameter values for the detection algorithm. First, a machine vision technique based on motion estimation of individual eggs was developed to compensate any motion errors present on images and thus reduce false crack-detection readings. The simulation results of the developed motion estimation and compensation technique with 3,000 eggs showed no false errors. Second, the receiver operating characteristic (ROC) curve was used to evaluate and compare the performance of the crack-detection algorithm under varying parameters (ratio and detection-tolerance thresholds) and to find the optimal parameter values. The area under the ROC curve (AUC) was used to compare the performance under varying parameter values. The minimum distance and Youden index criteria were used to find the optimal values from the ROC curve. The minimum distance criterion found the optimal parameters at 1.11 and 20 (or 1.1 and 25) for the ratio and detection-tolerance thresholds, respectively. The true positive and false positive rates at the optimal conditions were 98.91 and 0.14 %, respectively.