New vision technology for multidimensional quality monitoring of continuous frying of meat

Food Control

Volumn 21, Issue 5, 2010, Pages 626-632

  Daugaard, Søren Blond ^a   Adler Nissen, Jens ^b   Carstensen, Jens Michael ^b  

^a Private address: Nedertoften 39   (Denmark)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Continuous frying; Multi spectral vision technology; NIR

Indexed keywords

EID: 73549103804     PISSN: 09567135     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodcont.2009.09.007     Document Type: Article

References (29)

1. Abdullah M.Z., Mohamad-Saleh J., Fathinul-Syahir A.S., and Mohd-Azemi B.M.N. Discrimination and classification of fresh-cut starfruits (Averrhoa carambola L.) using automated machine vision system. Journal of Food Engineering 76 (2006) 506-523
2. Adler-Nissen J. The continuous wok - A new unit operation in industrial food processes. Journal of Food Process Engineering 25 (2002) 435-453
3. Adler-Nissen, J. (2006). A method of frying minced meat. International patent application. WO 2006/092139 A1.
4. Adler-Nissen J. Continuous wok-frying of vegetables, process parameters influencing scale up and product quality. Journal of Food Engineering 83 (2007) 54-60
5. Allais I., Perrot N., Curt C., and Trystram G. Modelling the operator know-how to control sensory quality in traditional processes. Journal of Food Engineering 83 (2007) 156-166
6. Carstensen, J. M., & Folm-Hansen, J. (2000). An apparatus and a method of recording an image of an object. European Patent EP1051660.
7. Carstensen, J. M., Hansen, M. E., Lassen, N. K., & Hansen, P. W. (2006). Creating surface chemistry maps using multispectral vision technology. In Proceedings of the MICCAI (Medical Image Computing and Computer Aided Intervention) 2006 workshop on biophotonics imaging (pp. 19-28). 6 October 2006, Copenhagen. ISBN 87-643-0116-8.
8. Chen Y.-R., Chao K., and Kim M.S. Machine vision technology for agricultural applications. Computers and Electronics in Agriculture 36 (2002) 173-191
9. Clausen I., and Ovesen L. Changes in fat content of pork and beef after pan-frying under different conditions. Journal of Food Composition and Analysis 18 (2005) 201-211
10. Dissing, B. S., Ersboell, B. K., & Adler-Nissen, J. (2009). Monitoring water content using multispectral imaging and NIR in a minced meat preparation process. In 14th international conference on near infrared spectroscopy, 9-13 November 2009, Bangkok, Thailand.
11. Gomez D.D., Butakoff C., Ersbøll B., and Carstensen J.M. Automatic change detection and quantification of dermatological diseases with an application to psoriasis images. Pattern Recognition Letters 28 (2007) 1012-1018
12. Gonzales R.C., Woods R.E., and Eddins S.L. Digital image processing using MATLAB (2003), Prentice-Hall, Upper Saddle River NJ
13. Haley T.A., and Mulvaney S.J. Advanced process control techniques for the food industry. Trends in Food Science & Technology 6 (1995) 103-110
14. Hansen M.E., and Carstensen J.M. Density-based retrieval from high-similarity image databases. Pattern Recognition 37 (2004) 2155-2164
15. Hansen M.E., Lund F., and Carstensen J.M. Visual clone identification of Penicillium commune isolates. Journal of Microbiological Methods 52 (2003) 221-229
16. Hoyer H. NIR on-line analysis in the food industry. Process Control and Quality 4 (1997) 143-152
17. Linko S., and Linko P. Developments in monitoring and control of food processes. Transactions of the Institute of Chemical Engineering 76 Part C (1998) 127-137
18. Mackinson J.H., Greenfield H., Wong M.L., and Wills R.B.H. Journal of Food Composition and Analysis 1 (1987) 93-101
19. In: Nielsen S.S. (Ed). Introduction to chemical analysis of foods (1994), Jones and Bartlett, Boston
20. Pearson A.M., and Gillett T.A. Processed meats. 3rd ed. (1996), Chapman & Hall, New York
21. Perrot, N., Ioannou, I., Gilles, M., Allais, I., Curt, C., Chevallereau, V. et al. (2002). Experiences about operator/technology cooperation using a fuzzy symbolic approach to decision support system design in food processes. In Proceedings of the IEEE international conference on systems, Man and cybernetics, Vol. 1 (pp. 94-99).
22. Riquelme M.T., Barreiro P., Ruiz-Altisent M., and Valero C. Olive classification according to external damage using image analysis. Journal of Food Engineering 87 (2008) 371-379
23. Sánchez A.J., Albarracin W., Grau R., Ricolfe C., and Barat J.M. Control of ham salting by using image segmentation. Food Control 19 (2008) 135-142
24. Schwarze H. Continuous fat analysis in the meat industry. Process Control and Quality 4 (1997) 133-138
25. Stien L.H., Kiessling A., and Manne F. Rapid estimation of fat content in salmon fillets by colour image analysis. Journal of Food Composition and Analysis 20 (2007) 73-79
26. Tornberg E. Effect of heat on meat proteins - Implications on structure and quality of meat products. Meat Science 70 (2005) 493-508
27. Uddin M., Okazaki E., Turza S., Yomiko Y., Tanaka M., and Fukuda Y. Non-destructive visible/NIR spectroscopy for differentiation of fresh and frozen-thawed fish. Journal of Food Science 70 (2005) C506-C510
28. Videometer. (2009). Testimonial: Kopenhagen Fur, April 19, 2007. Accessed 01.09.09.
29. Vincent L. Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms. IEEE Transactions on Image Processing 2 3 (1993) 176-201