Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging
Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging
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DOI：
10.1016/j.jfoodeng.2009.09.005
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发表时间：
2010-02-01
影响因子：
5.5
通讯作者：
Lu, Renfu
中科院分区：
文献类型：
--
作者：
Ariana, Diwan P.;Lu, Renfu
研究了高光谱成像在同时反射（400 - 675 nm）和透射（675 - 1000 nm）模式下的非破坏性和非接触式感测整个泡菜的表面颜色和膨胀损伤。从商业泡菜加工厂收集好的和有缺陷的泡菜。使用在线高光谱成像系统的原型，在400 - 1000 nm的波长范围内操作，获得这些泡菜的高光谱图像。将主成分分析应用于泡菜样品的高光谱图像，以检测泡菜的损伤。使用基于高光谱图像计算的三刺激值对泡菜的颜色进行建模。好、坏泡菜的色度和色相角无差异。好泡菜和坏泡菜的平均色度分别为15.5和15.0，色相角分别为94.0度和93.8度。与500 - 675 nm可见光区的反射率图像相比，675 - 1000 nm处的透射率图像对于内部缺陷检测更有效。总体缺陷分类准确率达到86%。相比之下，人类检查员的准确率为70%。经过进一步的改进，该高光谱成像系统可以满足商业工厂环境中对臃肿泡菜检测的需要。(C)2009爱思唯尔有限公司保留所有权利。
Hyperspectral imaging operated under simultaneous reflectance (400-675 nm) and transmittance (6751000 nm) modes was studied for non-destructive and non-contact sensing of surface color and bloater damage in whole pickles. Good and defective pickles were collected from a commercial pickle processing plant. Hyperspectral images of these pickles were obtained using a prototype of on-line hyperspectral imaging system, operating in the wavelength range of 400-1000 nm. Principal component analysis was applied to the hyperspectral images of the pickle samples for bloater damage detection. Color of the pickles was modeled using tristimulus values calculated based on the hyperspectral images. There were no differences in chroma and hue angle of good and defective pickles. The average chroma of good and defective pickles was 15.5 and 15.0, respectively, and the hue angle 94.0 degrees and 93.8 degrees, respectively. Transmittance images at 675-1000 nm were much more effective for internal defect detection compared to reflectance images for the visible region of 500-675 nm. An overall defect classification accuracy of 86% was achieved. compared with an accuracy of 70% by the human inspectors. With further improvement, the hyperspectral imaging system could meet the need of bloated pickles detection in a commercial plant setting. (C) 2009 Elsevier Ltd. All rights reserved.