Journal of Dairy Science
Volume 90, Issue 7 , Pages 3162-3170 , July 2007

Computer Vision and Color Measurement Techniques for Inline Monitoring of Cheese Curd Syneresis

  • C.D. Everard

      Affiliations

    • Teagasc, Moorepark Food Research Centre, Fermoy, Co. Cork, Ireland
    • Corresponding Author InformationCorresponding author.
  • ,
  • D.J. O’Callaghan

      Affiliations

    • Teagasc, Moorepark Food Research Centre, Fermoy, Co. Cork, Ireland
  • ,
  • C.C. Fagan

      Affiliations

    • Biosystems Engineering, School Agriculture, Food Science and Veterinary Medicine, University College Dublin, Earlsfort Terrace, Dublin 2, Ireland
  • ,
  • C.P. O’Donnell

      Affiliations

    • Biosystems Engineering, School Agriculture, Food Science and Veterinary Medicine, University College Dublin, Earlsfort Terrace, Dublin 2, Ireland
  • ,
  • M. Castillo

      Affiliations

    • Department of Biosystems and Agricultural Engineering, University of Kentucky, 128C.E. Barnhart Building, Lexington, 40546-0276
  • ,
  • F.A. Payne

      Affiliations

    • Department of Biosystems and Agricultural Engineering, University of Kentucky, 128C.E. Barnhart Building, Lexington, 40546-0276

Received 21 December 2006 ,Accepted 11 March 2007.

  • Image Result

    Schematic of computer vision system coupled to the cheese vat with twin corotating stirrers.CCD= charge-coupled device.

    Schematic of computer vision system coupled to the cheese vat with twin corotating stirrers.CCD= charge-coupled device.

  • Image Result

    Computer vision images of the curd/whey mixture at a) 5 min, b) 15 min, c) 35 min, and d) 85 min after cutting, in the 10-L vat. The curd/whey mixture is being stirred by twin stirrers (Figure 1).

    Computer vision images of the curd/whey mixture at a) 5 min, b) 15 min, c) 35 min, and d) 85 min after cutting, in the 10-L vat. The curd/whey mixture is being stirred by twin stirrers (Figure 1).

  • Image Result

    a) Red (♢), green (□), and blue (△) (i.e., RGB, values on a scale of 0 – 255 for a trial) and b) the corresponding ΔEm values (———; RGB model) fitted to ΔERGB values (□) vs. time.

    a) Red (♢), green (□), and blue (△) (i.e., RGB, values on a scale of 0 – 255 for a trial) and b) the corresponding ΔEm values (———; RGB model) fitted to ΔERGB values (□) vs. time.

  • Image Result

    Changes in MC (curd moisture) over the course of syneresis (t = 5min to t = 85min) for different treatments: pH, 6 and stirring speed, 12.1rpm (average of 3 replicates, ——); pH, 6 and stirring speed,

    Changes in MC (curd moisture) over the course of syneresis (t = 5min to t = 85min) for different treatments: pH, 6 and stirring speed, 12.1rpm (average of 3 replicates, ——); pH, 6 and stirring speed, 27.2rpm (average of 3 replicates, — — —); pH, 6.5 and stirring speed, 12.1 revolutions per minute (average of 3 replicates, – – –); pH, 6.5 and stirring speed, 27.2 (average of 3 replicates, — – — – —).

  • Image Result
    Graph of log awy (log of ratio between white and yellow areas) vs. time after cutting the coagulum for a typical trial, using the computer vision system. It is apparent that log awy decreases in a lin

    Graph of log awy (log of ratio between white and yellow areas) vs. time after cutting the coagulum for a typical trial, using the computer vision system. It is apparent that log awy decreases in a linear manner up to tlinear, the vertical bar indicating the point of departure from this first linear section.

  • Image Result
    Plot showing trend of WM (yield of whey) vs. awy (ratio between white and yellow area): t = 5 (♢); t = 15 (□); t = 25 (△).

    Plot showing trend of WM (yield of whey) vs. awy (ratio between white and yellow area): t = 5 (♢); t = 15 (□); t = 25 (△).

  • Image Result
    Fit of Eq. [7] to the experimental values of MC (curd moisture content) at time t showing the effect of stirring speed on prediction consistency. Two different stirring speeds (12.1 and 27.2rpm) were

    Fit of Eq. [7] to the experimental values of MC (curd moisture content) at time t showing the effect of stirring speed on prediction consistency. Two different stirring speeds (12.1 and 27.2rpm) were used to promote syneresis. Thin line, diagonal line; thick line, regression line. a) Fit for the 12 tests, which constituted the 3 whole replications of the experiment; Regression line: Predicted MC = 0.985×Measured MC; b) Fit for the 6 tests at low stirring speed; Regression line: Predicted MC = 0.972×Measured MC; c) Fit for the 6 tests at high stirring speed. Regression line: Predicted MC = 1.000×Measured MC. Prediction equation coefficients were: b0 = 92.63, b1 = −0.150, b2 = 0.000851, b3 = 33.2, b4 = −0.0171.

PII: S0022-0302(07)71764-2

doi: 10.3168/jds.2006-872

Journal of Dairy Science
Volume 90, Issue 7 , Pages 3162-3170 , July 2007