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量化农产品中的非均匀颜色。第二部分:机器视觉与感官小组评估的比较。

Quantifying nonhomogeneous colors in agricultural materials. Part II: comparison of machine vision and sensory panel evaluations.

作者信息

Balaban M O, Aparicio J, Zotarelli M, Sims C

机构信息

Fishery Industrial Technology Center, University of Alaska Fairbanks, Kodiak, AK 99615, USA.

出版信息

J Food Sci. 2008 Nov;73(9):S438-42. doi: 10.1111/j.1750-3841.2008.00967.x.

Abstract

The average colors of mangos and apples were measured using machine vision. A method to quantify the perception of nonhomogeneous colors by sensory panelists was developed. Three colors out of several reference colors and their perceived percentage of the total sample area were selected by untrained panelists. Differences between the average colors perceived by panelists and those from the machine vision were reported as DeltaE values (color difference error). Effects of nonhomogeneity of color, and using real samples or their images in the sensory panels on DeltaE were evaluated. In general, samples with more nonuniform colors had higher DeltaE values, suggesting that panelists had more difficulty in evaluating more nonhomogeneous colors. There was no significant difference in DeltaE values between the real fruits and their screen image, therefore images can be used to evaluate color instead of the real samples.

摘要

使用机器视觉测量芒果和苹果的平均颜色。开发了一种量化感官评价员对非均匀颜色感知的方法。未经训练的评价员从几种参考颜色中选择三种颜色及其在总样本面积中所占的感知百分比。评价员感知到的平均颜色与机器视觉得到的平均颜色之间的差异以DeltaE值(色差误差)报告。评估了颜色不均匀性以及在感官评价中使用真实样本或其图像对DeltaE的影响。一般来说,颜色更不均匀的样本具有更高的DeltaE值,这表明评价员在评估更不均匀的颜色时更困难。真实水果与其屏幕图像之间的DeltaE值没有显著差异,因此图像可用于代替真实样本进行颜色评估。

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