Use of digital images to estimate CIE color coordinates of beef

Abstract The objective of this study was to evaluate the use of digital images (DI) to estimate CIE L∗a∗b∗, hue angle and chroma of beef, as compared to a colorimeter (CM). Loin samples from 21 steers finished with high-grain diets were displayed under retail-simulated conditions. Color readings were obtained from 63 cores covering the full spectrum of discoloration in beef. CIE L∗, a∗, and b∗ were measured with a surface-reflectance CM. Red, green and blue (RGB) values were obtained from DI and sequentially transformed to XYZ and CIE L∗a∗b∗ color space. Hue angle and chroma were calculated from a∗ and b∗ values. Regressions of CM on DI for a∗, hue angle and chroma had R2 values of 0.93 and above. Average color difference ( Δ E ab ∗ ) between the predicted and the actual CM L∗, a∗, and b∗ values for 13 samples that were not included in the regressions was 1.57, below reported thresholds of detection for 50% of observers. Color readings from DI could be used to accurately predict color coordinates measured by CM, especially a∗, hue angle and chroma. Use of digital imaging could become a practical tool to detect changes in beef color and other muscle foods.

[1]  Bernhard Hill,et al.  Comparative analysis of the quantization of color spaces on the basis of the CIELAB color-difference formula , 1997, TOGS.

[2]  C. Calkins,et al.  Muscle profiling: Characterizing the muscles of the beef chuck and round. , 2005, Meat science.

[3]  James M. Keller,et al.  Determination of Internal Color of Beef Ribeye Steaks Using Digital Image Analysis , 1986 .

[4]  M. Richards,et al.  Finishing steers with diets based on corn, high-tannin sorghum or a mix of both: Color and lipid oxidation in beef. , 2008, Meat science.

[5]  D. V. Byrne,et al.  Evaluation of pork colour: prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis. , 2003, Meat science.

[6]  M. Hunt,et al.  Current research in meat color. , 2005, Meat science.

[7]  Roy S. Berns,et al.  Precision requirements for digital color reproduction , 1992, TOGS.

[8]  D. Macdougall.  Changes in the colour and opacity of meat , 1982 .

[9]  John C. Beatty,et al.  An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models , 1987, TOGS.

[10]  Melvin C. Hunt,et al.  Color and Heat Denaturation of Myoglobin Forms in Ground Beef , 1999 .

[11]  M. Vaisey,et al.  The Relationships Between Consumer Criteria for Choosing Beef and Beef Quality , 1974 .

[12]  L. E. Jeremiah,et al.  BEEF COLOR AS RELATED TO CONSUMER ACCEPTANCE AND PALATABILITY , 1972 .

[13]  K. Scheller,et al.  Color coordinates for assessment of dietary vitamin E effects on beef color stability. , 1996, Journal of animal science.

[14]  K Maguire,et al.  Perceptions of Meat and Food: : Some Implications for Health Promotion Strategies , 1994 .

[15]  A. Robertson.  The CIE 1976 Color-Difference Formulae , 1977 .

[16]  Dafydd Gibbon,et al.  1 User’s guide , 1998 .

[17]  D. Mery,et al.  Color measurement in L ¿ a ¿ b ¿ units from RGB digital images , 2006 .