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Use of digital images to estimate CIE color coordinates of beef

机译:使用数字图像估计牛肉的CIE颜色坐标

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摘要

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 R~2 values of 0.93 and above. Average color difference (△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.
机译:这项研究的目的是评估与色度计(CM)相比,使用数字图像(DI)估计牛肉的CIE L〜* a〜* b〜*,色相角和色度。在零售模拟条件下,展示了来自21头高谷物日粮的牛的腰肉样品。从覆盖整个牛肉变色光谱的63个芯中获得颜色读数。用表面反射率CM测量CIE L *,a *和b *。从DI获得红色,绿色和蓝色(RGB)值,然后依次将其转换为XYZ和CIE L〜* a〜* b〜*颜色空间。从a〜*和b〜*值计算出色相角和色度。 CM在DI上对于a〜*,色相角和色度的回归的R〜2值为0.93以上。 13个未包括在回归中的样本的预测CM L〜*,a〜*和b〜*值与实际CM L〜*,a〜*和b〜*值之间的平均色差(△E_(ab)〜*)为1.57,低于报告的检测阈值对于50%的观察者。 DI的颜色读数可用于准确预测CM测量的颜色坐标,尤其是α*,色相角和色度。使用数字成像可能会成为检测牛肉颜色和其他肌肉食品变化的实用工具。

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