Calibrated color measurements of agricultural foods using image analysis

Postharvest Biology and Technology

Volumn 41, Issue 3, 2006, Pages 285-295

  Mendoza, Fernando ^a   Dejmek, Petr ^b   Aguilera, José M ^a  

^a PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

^b LUND UNIVERSITY   (Sweden)

Author keywords

CIE color; Computer vision sensitivity; Curved surfaces; sRGB standard

Indexed keywords

SIMPLEXVIRUS;

EID: 33751103926     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.postharvbio.2006.04.004     Document Type: Article

References (27)

1. Abdullah M.Z., Guan L.C., Lim K.C., and Karim A.A. The applications of computer vision system and tomographic radar imaging for assessing physical properties of food. J. Food Eng. 61 (2001) 125-135
2. Brosnan T., and Sun D.-W. Inspection and grading of agricultural and food products by computer vision systems-a review. Comput. Electron. Agric. 36 (2002) 193-213
3. Brosnan T., and Sun D.-W. Improving quality inspection of food products by computer vision-a review. J. Food Eng. 61 (2004) 3-16
4. Castleman K. Digital Image Processing (1996), Prentice-Hall, Englewood Cliffs, NJ 667 pp
5. Chen Y.-R., Chao K., and Kim M.S. Machine vision technology for agriculture applications. Comput. Electron. Agric. 36 (2002) 173-191
6. CIE, 1986. Colorimetry, Official recommendations of the International Commission on Illumination, CIE Publication No. 15.2. CIE Central Bureau, Vienna.
7. Du C.-J., and Sun D.-W. Recent developments in the applications of image processing techniques for food quality evaluation. Trends Food Sci. Technol. 15 (2004) 230-249
8. Du C.-J., and Sun D.-W. Comparison of three methods for classification of pizza topping using different colour space transformations. J. Food Eng. 68 (2005) 277-287
9. In: Francis F.J., and Clydesdale F.M. (Eds). Food Colorimetry: Theory and Applications (1975), AVI Publishing Co., Westport, CT 477 pp
10. Gondek, J. 2000. An extended sRGB space for high quality consumer imaging. Revision 1.01 6/20/00. Hewlett-Packard.
11. In: Hunt R.W.G. (Ed). Measuring of Colour (1991), Ellis Horwood, Ltd., New York 313
12. In: Hunter R.S., and Harold R.W. (Eds). The Measurement of Appearance (1987), John Wiley & Sons, New York 411 pp
13. In: Hutchings J.B. (Ed). Food Color and Appearance (1999), Aspen Publishers, Inc., Gaithersburg, MD 593
14. Hutchings J.B., Luo R., and Ji W. Calibrated colour imaging analysis of food. In: MacDougall D. (Ed). Colour in Food (2002), Woodhead Publishing 352-366 (Chapter 14)
15. IEC 61966-2-1, 1999. Multimedia systems and equipment - Colour measurements and management - Part 2-1: Colour management - Default RGB color space - sRGB' (International Electrotechnical Commission, Geneva, 1999-10).
16. Mendoza F., and Aguilera J.M. Application of image analysis for classification of ripening bananas. J. Food Sci. 69 (2004) 471-477
17. O'Sullivan M.G., Byrne D.V., Martens H., Gidskehaug L.H., Andersen H.J., and Martens M. Evaluation of pork color: prediction of visual sensory quality of meat from instrumental and computer vision methods of color analysis. Meat Sci. 65 (2003) 909-918
18. Papadakis S., Abdul-Malek S., Kamdem R.E., and Jam K.L. A versatile and inexpensive technique for measuring color of foods. Food Technol. 54 (2000) 48-51
19. In: Poynton C. (Ed). A Technical Introduction to Digital Video (1996), John Wiley & Sons, New York 91-114 (Chapter 6: Gamma)
20. Robertson A.L. The CIE 1976 color difference formulae. Color Res. Appl. 2 (1976) 7-11
21. Rec. ITU-R BT.709-5, 2002. Parameter values for the HDTV standards for production and international programme exchange (1990, revised 2002). International Telecommunication Union, 1211 Geneva 20, Switzerland.
22. In: Russ J.C. (Ed). Image Analysis of Food Microstructure (2005), CRC Press LLC, New York 369 pp
23. Sangwine S.J. Colour in image processing. Electron. Commun. Eng. J. 12 (2000) 211-219
24. Segnini S., Dejmek P., and Öste R. A low cost video technique for color measurement of potato chips. Lebensm.-Wiss. U.-Technol. 32 (1999) 216-222
25. Shahin M.A., and Symons S.J. A machine vision system for grading lentils. Can. Biosyst. Eng. 43 (2001) 7.7-7.14
26. Stokes, M., Anderson, M., Chandrasekar, S., Motta, R., 1996. A standard default color space for the internet-sRGB, Version 1.10. International Color Consortium (ICC), 1899 Preston White Drive, Reston, VA, November 5.
27. Yam K.L., and Papadakis S.E. A simple digital imaging method for measuring and analyzing color of food surfaces. J. Food Eng. 61 (2004) 137-142