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20篇 您的检索式:作者名="Kuanglin"
    题名 作者 年代 出处 被引量
1农畜产品安全无损检测扫描式拉曼光谱成像系统设计显示文摘构建了用于农畜产品安全检测的扫描式拉曼光谱成像检测系统,对其硬件和软件分别进行了搭建和设计,实现了拉曼光谱和图像同步获取。根据检测的实际需求和精度要求确定了检测系统中拉曼成像光谱仪、CCD相机、镜头、激光光源、移动平移台等主要元器件。开发了拉曼光谱成像检测系统实时检测与分析软件。软件以LabView为主开发环境,实现了对CCD相机、激光光源等硬件的控制,利用LabView与Matlab混合编程,完成数据的提取、分析计算与结果保存,通过LabView与ENVI的混合编程,完成扫描线图像的实时合成和显示。对系统进行了安装和性能测试,光谱校正确定了CCD相机探测的拉曼光谱范围为-679.3~2885.7cm-1,空间校正确定了系统实际的空间分辨率为0.22mm/像素。构建的拉曼光谱成像检测系统可快速、无损获取样品拉曼光谱和图像信息。翟晨 彭彦昆 Chao Kuanglin 赵娟 李永玉 李延 2016农业机械学报2016,47,12:6
2Simultaneous determination of tenderness and Escherichia coli contamination of pork using hyperspectral scattering technique显示文摘Feifei Tao Yankun Peng Yongyu Li Kuanglin Chao Sagar Dhakal 2011Meat Science2011,,3:1
3Machine vision technology for agricultural applications显示文摘Chen Yud-Ren Chao Kuanglin Kim M S 2002Computers and Electronics in Agriculture2002,36,23:1
4Machine vision technology for agricultural applications 显示文摘Yud- Ren Chen Kuanglin Chao Moon SKim 2002Computers and Electronics in Agriculture2002,36,:1
5Inspection of maleic anhydride in starch powder using line-scan hyperspectral Raman chemical imaging technique显示文摘Excessive use of maleic anhydride(MAN)in starch production is potentially harmful for consumers’health.This study presents a macro-scale Raman chemical imaging method for detection and quantification of MAN particles mixed in starch powder.MAN was mixed into corn starch at eight concentration levels from 50 ppm to 6400 ppm(w/w).Each mixture was put in a sample holder with a 150 mm×100 mm area and a 2 mm depth to create a large surface and a thin layer of the powdery sample for inspection.A 30 W 785 nm line laser was projected on the sample surface,from which hyperspectral images were obtained by a line-scan Raman imaging system with a spatial resolution of 0.2 mm.Fluorescence signals generated by laser-sample interactions were eliminated by a mathematical baseline correction method.A unique Raman peak was selected at 1839 cm-1 for the MAN detection,at which single-band fluorescence-corrected images were extracted from the mixture of each concentration and used to generate chemical images for MAN detection and mapping.The MAN detection limit was estimated at 100 ppm based on the Raman imaging measurement results.Pixel concentrations of the MAN in the chemical images were found linearly correlated with mass concentrations of the MAN particles in the starch powder,suggesting the Raman chemical imaging method has the potential for quantitative detection of the MAN in the starch-MAN mixtures.Jianwei Qin Moon S.Kim Kuanglin Chao Lisa Bellato Walter F.Schmidt Byoung-Kwan Cho Min Huang 2018International Journal of Agricultural and Biological Engineering2018,11,6:1
6Machine vision technology for agricultural applications显示文摘Yud-Ren Chen Kuanglin Chao Kim Moon S 2002Computers and Electronics in Agriculture2002,36,:1
7Nondestructive evaluation of internal maturity of tomatoes using spatially offset Raman spectroscopy显示文摘Jianwei Qin Kuanglin Chao Moon S. Kim 2012Postharvest Biology and Technology2012,,:1
8Machine vision technology for agricultural applications显示文摘Chen Yud-Ren Chao Kuanglin Kim M S 2002Computers and Electronics in Agriculture2002,36,23:1
9Development of multispectral image processing algorithms for identification of wholesome, septicemic, and inflammatory process chickens显示文摘Yang Chun-Chieh Chao Kuanglin Chen Yud-Ren 2005Journal of Food Engineering2005,69,2:1
10Hyperspectral and multispectral imaging for evaluating food safety and quality显示文摘Qin Jianwei Chao Kuanglin Kim Moon S 2013Journal of Food Engineering2013,118,2:1
11Machine vision technology for agricultural applications显示文摘Yud-Ren Chen Kuanglin Chao Moon S Kim 2002Computers and Electronics in Agriculture2002,,2:1
12Hyperspectral and muhispectral imaging for evaluating food safety and quality 显示文摘QIN Jiangwei CHAO Kuanglin KIM M S 2013J Food Eng2013,118,2:1
13Machine vision technology for agricultural applications 显示文摘Chen Yud - Ren Chao Kuanglin Kim Moon S 2002Computers and Electronics in Agriculture2002,,12:1
14Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method显示文摘Jianwei Qin Thomas F. Burks Moon S. Kim Kuanglin Chao Mark A. Ritenour 2008Sensing and Instrumentation for Food Quality and Safety2008,,3:1
15Machine vision technology for agricultural applications显示文摘Yud-ren Chen Kuanglin Chao Kim Moon S 2002Computers and Electronics in Agriculture2002,36,:1
16Visible to SWIR hyperspectral imaging for produce safety and quality evaluation 显示文摘Kim Moon S Delwiche Stephen R Chao Kuanglin 2011Sensing and Instru- mentation for Food Quality and Safety2011,5,:1
17Machine vision technology for agricultural applications显示文摘Yud Ren Chen Kuanglin Chao Moon S Kim 2002Computers and Electronics Agriculture2002,36,:1
18Machirie vi- sion technology for agricultural applications 显示文摘Yud - Ren Chen Kuanglin Chao Kim Moon S 2002Computers and Electronics in Agricuhure2002,36,:1
19Potential of Raman spectroscopy and imaging methods for rapid and routine screening of the presence of melanmine in animal feed and foods显示文摘LIU Yongliang CHAO Kuanglin KIM M S 2009Applied Spectroscopy2009,63,4:1
20Machine vision technology for agricultural applications显示文摘CHEN Yudren CHAO Kuanglin Moon S Kim 2002Comput- ers and Electronics Agriculture2002,36,23:1
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