Non-destructive Discrimination of Different Kinds Egg by Vis/NIR Hyperspectral Imaging Technique

DING Jia-xing; YANG Xiao-yu; FANG Meng-meng; HE Jian-guo

doi:10.3788/fgxb20183903.0394

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Non-destructive Discrimination of Different Kinds Egg by Vis/NIR Hyperspectral Imaging Technique

更新时间：2020-08-12

- Non-destructive Discrimination of Different Kinds Egg by Vis/NIR Hyperspectral Imaging Technique
- Chinese Journal of Luminescence Vol. 39, Issue 3, Pages: 394-402(2018)
- 作者机构：
  
  宁夏大学农学院,宁夏银川,750021
- 作者简介：
- 基金信息：
  
  Supported by National Natural Science Foundation of China (31560481,31060233);Tran
- DOI：10.3788/fgxb20183903.0394
  CLC： S123;O657.3
- Received：24 July 2017，
  
  Revised：02 October 2017，
  
  Published Online：25 October 2017，
  
  Published：05 March 2018
- 稿件说明：
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丁佳兴, 杨晓玉, 房盟盟等. 可见/近红外高光谱成像技术对鸡蛋种类无损判别[J]. 发光学报, 2018,39(3): 394-402

DING Jia-xing, YANG Xiao-yu, FANG Meng-meng etc. Non-destructive Discrimination of Different Kinds Egg by Vis/NIR Hyperspectral Imaging Technique[J]. Chinese Journal of Luminescence, 2018,39(3): 394-402
丁佳兴, 杨晓玉, 房盟盟等. 可见/近红外高光谱成像技术对鸡蛋种类无损判别[J]. 发光学报, 2018,39(3): 394-402 DOI： 10.3788/fgxb20183903.0394.

DING Jia-xing, YANG Xiao-yu, FANG Meng-meng etc. Non-destructive Discrimination of Different Kinds Egg by Vis/NIR Hyperspectral Imaging Technique[J]. Chinese Journal of Luminescence, 2018,39(3): 394-402 DOI： 10.3788/fgxb20183903.0394.

摘要

利用高光谱技术对鸡蛋种类判别进行研究，为鸡蛋种类无损判别提供科学方法。本研究利用400~1 000 nm高光谱系统采集3种鸡蛋样本的高光谱图像，对原始光谱进行预处理；应用CARS、GAPLS和IRF对预处理后的光谱数据提取特征波长；分别建立基于全光谱和特征波长的KNN和PLS-DA鸡蛋判别模型。结果表明：Detrend法为最优预处理方法；利用CARS、GAPLS和IRF分别选出31、52和71个特征波长；基于IRF提取的特征波长的PLS-DA模型最优，校正集正确率97.02%，预测集正确率85.71%。表明基于高光谱成像技术采集的鸡蛋反射光谱对种类无损判别是可行的。

Abstract

Using hyperspectral techniques for kind discrimination of egg can provide scientific methods for non-destructive discrimination kind of egg. In this study

hyperspectral images of three kinds of egg samples were acquired in wavelength range from 400 nm to 1 000 nm by hyperspectral system

and pretreatment methods were used to process original spectrum. Then the characteristic wavelengths were selected from the pretreatmented spectral data by CARS

GAPLS and IRF. KNN and PLS-DA discriminant models of eggs were established based on full spectrum and characteristic wavelengths

respectively. The results show that the Detrend method is the optimal pretreatment method. And the number of the characteristic wavelengths selected by CARS

GAPLS and IRF are 31

52 and 71

respectively. PLS-DA model based on characteristic wavelength extracted by IRF method is optimal

and accuracy of the calibration set and the forecast set are 97.02%

85.71%

respectively. It is feasible to discriminate kind of egg based on hyperspectral reflectance imaging.

关键词

Keywords

references

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