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Application of Infrared Images of Objects with Extreme Temperature Difference for the Structural Elucidation of Drug Molecules

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成果类型:
期刊论文
作者:
Ding, Dehong;Fang, Kui*;He, Ming;Yu, Hexiang;Qian, Kejun;...
通讯作者:
Fang, Kui
作者机构:
[Liu, Bo; Fang, Kui; Ding, Dehong] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
[Fang, Kui; Qian, Kejun; Ding, Dehong; Yu, Hexiang] Hunan Agr Univ, Coll Resource & Environm, Changsha 410128, Hunan, Peoples R China.
[He, Ming] Informat Engn Univ, Coll Informat Sci & Technol, Zhengzhou 410052, Peoples R China.
通讯机构:
[Fang, Kui] H
Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Chemical imaging;Drug molecules;Extreme temperature difference;Histogram equalization;Infrared image;Self-adaptive dual-local area enhancement
期刊:
LATIN AMERICAN JOURNAL OF PHARMACY
ISSN:
0326-2383
年:
2014
卷:
33
期:
10
页码:
1684-1689
基金类别:
State Science and Technology Support Program [2012BAD35B07]; General scientific research projects in Hunan Province Department of Education, China [14C0542]; Graduate Student Research Innovation Project of Hunan Province [CX2014B306]
机构署名:
本校为第一且通讯机构
院系归属:
资源环境学院
信息科学技术学院
摘要:
Infrared imaging technology of objects has been widely used to elucidate the structure of drug molecules. When observing objects, especially objects with extreme temperature difference, infrared focal plane imaging systems often have difficulties in evenly describing the grayscales of different temperature sections and capturing enough details. Aimed at this problem, in this study we proposed a self-adaptive dual-local area enhancement algorithm. This paper details the algorithm from two aspects, spatial distribution and statistical grayscale c...

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