Development of a Portable 3CCD Camera System for Multispectral Imaging of Biological Samples

被引:10
作者
Lee, Hoyoung [1 ]
Park, Soo Hyun [2 ]
Noh, Sang Ha [2 ]
Lim, Jongguk [3 ]
Kim, Moon S. [1 ]
机构
[1] ARS, Environm Microbial & Food Safety Lab, Beltsville Agr Res Ctr, USDA, Beltsville, MD 20705 USA
[2] Seoul Natl Univ, Dept Biosyst & Biomat Sci & Engn, Seoul 151921, South Korea
[3] Rural Dev Adm, Natl Acad Agr Sci, Suwon 441100, Gyeonggi Do, South Korea
来源
SENSORS | 2014年 / 14卷 / 11期
关键词
multispectral imaging; portable 3CCD Camera; beam splitter; prisms; parallel processing; apple defect detection; DEFECTS; APPLES; COLOR;
D O I
10.3390/s141120262
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Recent studies have suggested the need for imaging devices capable of multispectral imaging beyond the visible region, to allow for quality and safety evaluations of agricultural commodities. Conventional multispectral imaging devices lack flexibility in spectral waveband selectivity for such applications. In this paper, a recently developed portable 3CCD camera with significant improvements over existing imaging devices is presented. A beam-splitter prism assembly for 3CCD was designed to accommodate three interference filters that can be easily changed for application-specific multispectral waveband selection in the 400 to 1000 nm region. We also designed and integrated electronic components on printed circuit boards with firmware programming, enabling parallel processing, synchronization, and independent control of the three CCD sensors, to ensure the transfer of data without significant delay or data loss due to buffering. The system can stream 30 frames (3-waveband images in each frame) per second. The potential utility of the 3CCD camera system was demonstrated in the laboratory for detecting defect spots on apples.
引用
收藏
页码:20262 / 20273
页数:12
相关论文
共 22 条
[1]   Multispectral inspection of citrus in real-time using machine vision and digital signal processors [J].
Aleixos, N ;
Blasco, J ;
Navarrón, F ;
Moltó, E .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2002, 33 (02) :121-137
[2]   Machine vision technology for agricultural applications [J].
Chen, YR ;
Chao, KL ;
Kim, MS .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2002, 36 (2-3) :173-191
[3]  
Jeong D., 2013, J BIOSYST ENG, V38, P199, DOI DOI 10.5307/JBE.2013.38.3.199
[4]  
Kim Ghiseok, 2013, Journal of Biosystems Engineering, V38, P48
[5]  
Kim MS, 2011, T ASABE, V54, P703
[6]   Multispectral fluorescence lifetime imaging of feces-contaminated apples by time-resolved laser-induced fluorescence imaging system with tunable excitation wavelengths [J].
Kim, Moon S. ;
Cho, Byoung-Kwan ;
Lefcourt, Alan M. ;
Chen, Yud-Ren ;
Kang, Sukwon .
APPLIED OPTICS, 2008, 47 (10) :1608-1616
[7]  
이호영, 2014, Journal of Biosystems Engineering, V39, P142
[8]   Automated detection of fecal contamination of apples based on multispectral fluorescence image fusion [J].
Kim, MS ;
Lefcourt, AM ;
Chen, YR ;
Tao, Y .
JOURNAL OF FOOD ENGINEERING, 2005, 71 (01) :85-91
[9]   Multispectral laser-induced fluorescence imaging system for large biological samples [J].
Kim, MS ;
Lefcourt, AM ;
Chen, YR .
APPLIED OPTICS, 2003, 42 (19) :3927-3934
[10]   Steady-state multispectral fluorescence imaging system for plant leaves [J].
Kim, MS ;
McMurtrey, JE ;
Mulchi, CL ;
Daughtry, CST ;
Chappelle, EW ;
Chen, YR .
APPLIED OPTICS, 2001, 40 (01) :157-166