Characterisation of liquid food colour from digital images

References

• Pathare, P.B.; Opara, U.L.; Al-Julanda Al-Said, F. Color Measurement and Analysis in Fresh and Processed Foods: A Review. Food and Bioprocess Technology 2013, 6(1), 36–60.
   Web of Science ®Google Scholar
• Wu, D.; Sun, D.-W. Color Measurements by Computer Vision for Food Quality Control - A Review. Trends in Food Science and Technology 2013, 29(1), 5–20.
   Web of Science ®Google Scholar
• CIE DS 014-4.3/E. Colorimetry - Part 4: CIE 1976 L*A*B* Color Space. Commission Internationale De L’eclairage, 2007. Central Bureau: Vienna, Austria, 2007.
   Google Scholar
• McCaig, T.N. Extending the Use of Visible/Near-Infrared Reflectance Spectrophotometers to Measure Color of Food and Agricultural Products. Food Research International 2002, 35(8), 731–736.
   Web of Science ®Google Scholar
• Joubert, E. Tristimulus Color Measurement of Rooibos Tea Extracts as an Objective Quality Parameter. International Journal of Food Science and Technology 1995, 30(6), 783–792.
   Web of Science ®Google Scholar
• Huertas, R.; Melgosa, M.; Negueruela, A.I. Color Coordinates of Wine Samples with Different Thicknesses. Color Research and Application 2005, 30(2), 149–152.
   Web of Science ®Google Scholar
• González-Miret Martín, M.L.; Ji, W.; Luo, R.; Hutchings, J.; Heredia, F.J. Measuring Color Appearance of Red Wines. Food Quality and Preference 2007, 18(6), 862–871.
   Web of Science ®Google Scholar
• Hernández, B.; Sáenz, C.; De La Hoz, J.H.; Alberdi, C.; Alfonso, S.; Diñeiro, J.M. Assessing the Color of Red Wine like a Taster’s Eye. Color Research and Application 2009, 34(2), 153–162.
   Web of Science ®Google Scholar
• Gómez-Robledo, L.; Melgosa, M.; Huertas, R.; Roa, R.; Moyano, M.J.; Heredia, F.J. Virgin-Olive-Oil Color in Relation to Sample Thickness and the Measurement Method. Journal of the American Oil Chemists’ Society 2008, 85(11), 1063–1071.
   Web of Science ®Google Scholar
• Carvalho, M.J.; Pereira, V.; Pereira, A.C.; Pinto, J.L.; Marques, J.C. Evaluation of Wine Color under Accelerated and Oak-Cask Ageing Using Cielab and Chemometric Approaches. Food and Bioprocess Technology 2015, 8(11), 2309–2318.
   Web of Science ®Google Scholar
• Iqbal, S.M.D.; Gopal, A.; Sankaranarayanan, P.E.; Nair, A.B. Classification of Selected Citrus Fruits Based on Color Using Machine Vision System. International Journal of Food Properties 2016, 19(2), 272–288.
   Web of Science ®Google Scholar
• Fernández-Vázquez, R.; Stinco, C.M.; Hernanz, D.; Heredia, F.J.; Vicario, I.M. Color Training and Color Differences Thresholds in Orange Juice. Food Quality and Preference 2013, 30(2), 320–327.
   Web of Science ®Google Scholar
• Mendoza, F.A.; Kelly, J.D.; Cichy, K. Automated Prediction of Sensory Scores for Color and Appearance in Canned Black Beans (Phaseolus Vulgaris L.) Using Machine Vision. International Journal of Food Properties 2017, 20(1), 83–99.
   Web of Science ®Google Scholar
• Atkins, P.; De Paula, J. Atkins’ Physical Chemistry, 8th edn.; WH Freeman and Company: New York, 2006.
   Google Scholar
• Yang, L.; Kruse, B. Revised Kubelka-Munk Theory. I. Theory and Application. Journal of the Optical Society of America A 2004, 21(10), 1933–1941.
   Web of Science ®Google Scholar
• Goñi, S.M.; Salvadori, V.O. CIELAB Color Measurement from Digital Images. Servicio De Difusión De La Creación Intelectual, Repositorio Institucional De La UNLP. http://hdl.handle.net/10915/45660, 2015.
   Google Scholar
• Goñi, S.M.; Olivera, D.F.; Salvadori, V.O. Determinación De Color En El Espacio CIELAB a Partír De Imágenes Digitales. In: Conference on Food Innovation FoodInnova 2014, Concordia, Entre Ríos, Argentina, 20–23 October 2014, Vol. 2 pp. 538–546, 2016.
   Google Scholar
• Goñi, S.M.; Salvadori, V.O. Color Measurement: Comparison of Colorimeter versus Computer Vision System. Journal of Food Measurement and Characterization 2017, in press, doi: 10.1007/s11694-016-9421-1
   Google Scholar
• IEC 61966-2-1. Color Measurement and Management in Multimedia Systems and Equipment – Part 2-1: Default RGB Color Space – sRGB. International Electrotechnical Commission, Geneva, Switzerland, 1999.
   Google Scholar
• Gonzalez, R.C.; Woods, R.E. Digital Image Processing, 2nd.; Prentice Hall: New Jersey, 2002.
   Google Scholar
• León, K.; Merry, D.; Pedreschi, F.; León, J. Color Measurement in L*A*B* Units from RGB Digital Images. Food Research International 2006, 39(10), 1084–1091.
   Web of Science ®Google Scholar
• Lee, D.-J.; Archibald, J.K.; Chang, Y.-C.; Greco, C.R. Robust Color Space Conversion and Color Distribution Analysis Techniques for Date Maturity Evaluation. Journal of Food Engineering 2008, 88(3), 364–372.
   Web of Science ®Google Scholar
• Valous, N.A.; Mendoza, F.; Sun, D.-W.; Allen, P. Color Calibration of a Laboratory Computer Vision System for Quality Evaluation of Pre-Sliced Hams. Meat Science 2009, 81(1), 132–141.
   PubMed Web of Science ®Google Scholar
• Quevedo, R.A.; Aguilera, J.M.; Pedreschi, F. Color of Salmon Fillets by Computer Vision and Sensory Panel. Food and Bioprocess Technology 2010, 3(5), 637–643.
   Web of Science ®Google Scholar
• Jackman, P.; Sun, D.-W.; ElMasry, G. Robust Color Calibration of an Imaging System Using a Color Space Transform and Advanced Regression Modeling. Meat Science 2012, 91(4), 402–407.
   PubMed Web of Science ®Google Scholar
• Salmerón, J.F.; Gómez-Robledo, L.; Carvajal, M.Á.; Huertas, R.; Moyano, M.J.; Gordillo, B.; Palma, A.J.; Heredia, F.J.; Melgosa, M. Measuring the Color of Virgin Olive Oils in a New Color Scale Using a Low-Cost Portable Electronic Device. Journal of Food Engineering 2012, 111(2), 247–254.
   Web of Science ®Google Scholar
• Girolami, A.; Napolitano, F.; Faraone, D.; Braghieri, A. Measurement of Meat Color Using a Computer Vision System. Meat Science 2013, 93(1), 111–118.
   PubMed Web of Science ®Google Scholar
• Pascale, D.; RGB Coordinates of the Macbeth Colorchecker. Available at: http://www.babelcolor.com/download/RGB/Coordinates of the Macbeth ColorChecker.pdf, 2006. (Last accessed Aug 18 2016).
   Google Scholar
• CIE 15. Colorimetry. 3rd Edn. Technical Report CIE 15:2004, Commission Internationale de l’Eclairage, 2004.
   Google Scholar
• Ohno, Y. Chapter 5: Spectral Color Measurement. Colorimetry: Understanding the CIE System, Schanda, J.; Eds.; Wiley: New York; 2007.
   Google Scholar
• Hines, W.W.; Montgomery, D.C. Probability and Statistics in Engineering and Management Sciences, 3rd edn.; John Wiley & Sons, Inc.: USA, 1990.
   Google Scholar
• Goñi, S.M.; Salvadori, V.O. Predicción Del Color De Líquidos En El Espacio CIELAB a Partir De Imágenes Digitales. In: INNOVA 2015, 7º Simposio Internacional de Innovación y Desarrollo de Alimentos, 10º Congreso Iberoamericano de Ingeniería de Alimentos, Montevideo, Uruguay, 7–9 October 2015.
   Google Scholar