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Application research on enhancing near-infrared micro-imaging quality by 2nd derivative

文献类型： 外文期刊

作者： Wang Dong 1 ; Ma Zhi-hong 1 ; Zhao Liu 1 ; Wang Bei-hong 1 ; Han Ping 1 ; Pan Li-gang 1 ; Wang Ji-hua 1 ;

作者机构： 1.Beijing Res Ctr Agri Food Testing & Farmland Moni, Beijing 100097, Peoples R China

关键词： Near-infrared micro-imaging;Compare correlation imaging;2nd derivative;Wheat flour;Formaldehyde sodium sulfoxylate

期刊名称：INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: IMAGING SPECTROMETER TECHNOLOGIES AND APPLICATIONS

ISSN： 0277-786X

年卷期： 2013 年 8910 卷

页码：

收录情况： SCI

摘要： Near-infrared micro-imaging will not only provide the sample's spatial distribution information, but also the spectroscopic information of each pixel. In this thesis, it took the artificial sample of wheat flour and formaldehyde sodium sulfoxylate distribution given for example to research the data processing method for enhancing the quality of near-infrared micro-imaging. Near-infrared spectroscopic feature of wheat flour and formaldehyde sodium sulfoxylate being studied on, compare correlation imaging and 2nd derivative imaging were applied in the imaging processing of the near-infrared micro-image of the artificial sample. Furthermore, the two methods were combined, i.e. 2nd derivative compare correlation imaging was acquired. The result indicated that the difference of the correlation coefficients between the two substances, i.e. wheat flour and formaldehyde sodium sulfoxylate, and the reference spectrum has been increased from 0.001 in compare correlation image to 0.796 in 2nd derivative compare correlation image respectively, which enhances the imaging quality efficiently. This study will, to some extent, be of important reference significance to near-infrared micro-imaging method research of agricultural products and foods.

  • 相关文献

[1]Study of spatial distribution for the active ingredient in ibuprofen tablet based on near-infrared micro-imaging technology. Wang, Dong,Ye, Sheng Feng,Min, Shun Geng,Wang, Dong,Ding, Yun Sheng,Cao, Jin Li,He, Yue. 2011

[2]Research on Detection of Lime in Wheat Flour by NIR Micro-Imaging. Wang, Dong,Wang, Jihua,Wang, Dong,Ma, Zhihong,Han, Ping,Zhao, Liu,Pan, Ligang,Li, Xiaoting,Wang, Jihua,Wang, Dong.

[3]The Application of Classical Least Square Algorithm in the Quantitative Analysis of Lime in Wheat Flour by ATR-MIR Spectroscopy. Wang, Dong,Wang, Jihua,Wang, Dong,Han, Donghai,Wang, Dong,Ma, Zhihong,Pan, Ligang,Zhao, Liu,Han, Ping,Wang, Jihua. 2012

[4]Research on the Quantitative Determination of Lime in Wheat Flour by Near-Infrared Spectroscopy. Wang Dong,Ma Zhi-hong,Pan Li-gang,Han Ping,Zhao Liu,Wang Ji-hua,Wang Dong,Wang Ji-hua,Wang Dong. 2013

[5]The Application of CLS Algorithm in the Quantitative Analysis of Lime in Wheat Flour by NIR Spectroscopy. Wang, Dong,Ma, Zhihong,Pan, Ligang,Zhao, Liu,Han, Ping,Wang, Jihua. 2012

[6]Research on the Quantitative Determination of Lime in Wheat Flour by Short-Wavelength Near-Infrared Spectroscopy. Wang, Dong,Wang, Jihua,Wang, Dong,Ma, Zhihong,Pan, Ligang,Han, Ping,Zhao, Liu,Wang, Jihua,Wang, Dong,Han, Donghai.

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