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Proceedings Paper

Application research on enhancing near-infrared micro-imaging quality by 2nd derivative
Author(s): Dong Wang; Zhi-hong Ma; Liu Zhao; Bei-hong Wang; Ping Han; Li-gang Pan; Ji-hua Wang
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Paper Abstract

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.

Paper Details

Date Published: 30 August 2013
PDF: 6 pages
Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 89100J (30 August 2013); doi: 10.1117/12.2032599
Show Author Affiliations
Dong Wang, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)
Zhi-hong Ma, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)
Liu Zhao, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)
Bei-hong Wang, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)
Ping Han, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)
Li-gang Pan, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)
Ji-hua Wang, Beijing Research Ctr. for Agri-food Testing and Farmland Monitoring (China)


Published in SPIE Proceedings Vol. 8910:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications
Lifu Zhang; Jianfeng Yang, Editor(s)

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