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Improving Color Accuracy of Colorimetric Sensors

机译:提高比色传感器的颜色精度

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摘要

Accurate measurements of reflectance and color require spectrophotometers with prices often exceeding $3000. Recently, new “color instruments” became available with much lower prices, thanks to the availability of inexpensive colorimetric sensors. We investigated the Node+ChromaPro and the Color Muse, launched in 2015 and 2016 by Variable Inc. Both instruments are colorimeters, combining a colorimetric sensor with LED lighting. We investigated color accuracy compared to a high-end spectrophotometer from BYK Gardner. With different sets of samples we find for the Node an average value of dECMC (1:1) = 1.50, and a maximum of 7.86, when comparing with the 45° geometry of the spectrophotometer. Utilizing measurement data on the Spectral Power Distributions of the LEDs, we developed three methods to improve color accuracy as compared to the spectrophotometer data. We used these methods on different sets of samples with various degrees of gloss, both for training the models underlying the methods and for independent tests of model accuracy. Average color accuracy of the Node+ChromaPro improves from dECMC (1:1) = 1.82 to 1.16 with respect to spectrophotometer data. The percentage of samples with dECMC (1:1) < 1.0 increases from 30.9% (uncorrected) to 64%. With the improved color accuracy, these sensors become useful for many more applications.
机译:准确测量反射率和颜色需要分光光度计,价格通常超过3000美元。最近,由于便宜的比色传感器的出现,新型“彩色仪器”以更低的价格面世。我们研究了Variable Inc.在2015年和2016年推出的Node + ChromaPro和Color Muse。这两种仪器都是比色计,将比色传感器与LED照明相结合。与BYK Gardner的高端分光光度计相比,我们研究了色彩准确性。与分光光度计的45°几何形状相比,对于不同的样本集,我们发现该节点的dECMC(1:1)平均值为1.50,最大值为7.86。利用有关LED光谱功率分布的测量数据,与分光光度计数据相比,我们开发了三种方法来提高色彩精度。我们在具有不同光泽度的不同样本集上使用了这些方法,既用于训练基于该方法的模型,又用于模型准确性的独立测试。相对于分光光度计数据,Node + ChromaPro的平均色彩精度从dECMC(1:1)= 1.82提高到1.16。 dECMC(1:1)<1.0的样本百分比从30.9%(未校正)增加到64%。随着色彩精度的提高,这些传感器可用于更多应用。

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