Use of digital images to estimate CIE color coordinates of beef

Larraín, Rafael; Schaefer, D.M.; Reed, Jess D.

doi:10.1016/j.foodres.2008.01.002

Cited by 108 publications

(56 citation statements)

References 15 publications

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“…Similar et al, 2009) that is usually followed by image analysis using a computer vision system (CVS). Several authors (Brosnan and Sun, 2004;Du and Sun, 2004;Hutchings et al, 2002;Larraín et al, 2008;Leon et al, 2006;Mendoza and Aguilera, 2004;Mendoza et al, 2006;Valous et al, 2009) have reported that CVS can be an efficient tool for determining the color of food surfaces. However, in order to objectively measure color and to accurately detect color features in food products using CVS, color characterization, as well as evaluation of the reproducibility of the camera's sensor, are essential steps in the implementation of any CVS, as color information captured by digital cameras is devicedependent (Valous et al, 2009).…”

Section: Estimation Of the Surface Color Distributionmentioning

confidence: 99%

Visualization of Browning Color Formation on Grilled Fish Through a 2D Simulation

Llave

Wakisaka

et al. 2014

FSTR

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Section: Estimation Of the Surface Color Distributionmentioning

confidence: 99%

Visualization of Browning Color Formation on Grilled Fish Through a 2D Simulation

Llave

Wakisaka

et al. 2014

FSTR

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“…The measurements of L*, a*, b*, chroma (C*) and hue angle (h*) were carried out with a colorimeter (Minolta CR 300, Konica Minolta Holdings Inc., Tokyo, Japan) with a C illuminant and a 2°standard observer in the CIELAB space (Larraín et al, 2008). C* and h* were calculated from a* and b* values according to the device specifications.…”

Section: Physicochemical Analysismentioning

confidence: 99%

Effects of castration and time-on-feed on Mertolenga breed beef quality

Monteiro¹,

Navas

Lemos³

2014

Animal

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Physicochemical characteristics were determined in the longissimus lumborum muscle, after 8 days of ageing of steers (n = 12) and bulls (n = 12) from Mertolenga breed slaughtered directly from pasture (day 0) or after a finishing period of 50, 100 and 150 days in a feed-lot facility. Bulls and steers presented similar live weight (averaging 388 kg), carcass weight (CW; averaging 213 kg), dressing percentage (averaging 60%), carcass fatness (11.9% CW) and carcass fat thickness (averaging 3.03 mm). Live weight, CW, carcass fatness and fat thickness increased along time-on-feed. Gender only had a negligible effect on meat characteristics, with b* and h* being the only parameters of colour affected by gender, also presenting a significant interaction gender × time-on-feed. Nevertheless, both the genders presented a high-quality grade concerning tenderness (Warner-Bratzler shear force (WBSF)). L* increased until 50 days on feed and decreased afterwards, whereas a* and C* values increased along time-on-feed. Pigment content was also affected by time-on-feed and showed a gender × time-on-feed interaction. Beef colour became darker and redder along time-on-feed, but still in a colour range highly acceptable by Portuguese consumers. Despite the increase in intramuscular fat and myofibrillar fragmentation index, as well as the decrease in collagen content of steers and bulls along time-on-feed, it did not affect the tenderness/hardness, indicating a small effect of time-on-feed in meat characteristics. Despite only small differences in carcass characteristics and meat-quality parameters that have been noticed along time-on-feed, those differences were only significant after 100 days on feed. Principal component analysis (PCA) was performed. The first PC axis (39.6% of the total variance) included colour variables a*, b* and C*, and carcass fatness, fat thickness, CW and live weight, whereas the second one (12.7% of the total variance) included h*, cooking losses and dressing-out. The principal component (PC) analysis confirmed the lack of differences between bulls and steers and indicates a differentiation of the first two periods of feeding (0 and 50 days on feed) from the two latter (100 and 150 days on feed) periods of feeding.

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“…The comparison of the color results between the CVS and CDM measurements using the same white reference allowed the characterization of the obtained images and confirmation of the suitability of the standard sRGB for the calibration of this particular image acquisition system. The IEC 61966-2-1 (1999) equations that define the transformation from floating point nonlinear R'G'B' values to CIE XYZ in two steps were used in the same manner as reported by Mendoza et al (2006) and Larraín et al (2008). In the R'G'B' encoding process, the power function with a gamma factor of 2.4 includes a slight black-level offset to allow for the invertibility in integer math, which closely fits a straightforward gamma 2.2 curve.…”

Section: Color Measurementsmentioning

confidence: 99%