Illumination system characterization for hyperspectral imaging

被引:1
作者
Katrasnik, Jaka [1 ]
Pernus, Franjo [1 ]
Likar, Bostjan [1 ]
机构
[1] Univ Ljubljana, Fac Elect Engn, Ljubljana, Slovenia
来源
DESIGN AND QUALITY FOR BIOMEDICAL TECHNOLOGIES IV | 2011年 / 7891卷
关键词
illumination; diffuse reflectance; hyperspectral imaging; SPECTRAL ABSORPTION; SCATTERING; FRUIT; SPECTROSCOPY; QUALITY;
D O I
10.1117/12.873868
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Near-infrared hyperspectral imaging is becoming a popular tool in the biomedical field, especially for detection and analysis of different types of cancers, analysis of skin burns and bruises, imaging of blood vessels and for many other applications. As in all imaging systems, proper illumination is crucial to attain optimal image quality that is needed for best performance of image analysis algorithms. In hyperspectral imaging based on filters (AOTF, LCTF and filter wheel) the acquired spectral signature has to be representative in all parts of the imaged object. Therefore, the whole object must be equally well illuminated - without shadows and specular reflections. As there are no restrictions imposed on the material and geometry of the object, the desired object illumination can only be achieved with completely diffuse illumination. In order to minimize shadows and specular reflections in diffuse illumination the light illuminating the object must be spatially, angularly and spectrally uniform. We present and test two diffuse illumination system designs that try to achieve optimal uniformity of the above mentioned properties. The illumination uniformity properties were measured with an AOTF based hyperspectral imaging system utilizing a standard white diffuse reflectance target and a specially designed calibration target for estimating the spatial and angular illumination uniformity.
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页数:10
相关论文
共 20 条
[1]   Detection and Analysis of the Intestinal Ischemia Using Visible and Invisible Hyperspectral Imaging [J].
Akbari, Hamed ;
Kosugi, Yukio ;
Kojima, Kazuyuki ;
Tanaka, Naofumi .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 57 (08) :2011-2017
[2]  
[Anonymous], 2011, DIGITAL IMAGE PROCES
[3]   CIRCLE FITTING BY LINEAR AND NONLINEAR LEAST-SQUARES [J].
COOPE, ID .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1993, 76 (02) :381-388
[4]   Liquid-crystal tunable filter spectral imaging for brain tumor demarcation [J].
Gebhart, Steven C. ;
Thompson, Reid C. ;
Mahadevan-Jansen, Anita .
APPLIED OPTICS, 2007, 46 (10) :1896-1910
[5]   Pharmaceutical applications of vibrational chemical imaging and chemometrics: A review [J].
Gendrin, C. ;
Roggo, Y. ;
Collet, C. .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2008, 48 (03) :533-553
[6]   BIDIRECTIONAL CALIBRATION RESULTS FOR 11 SPECTRALON AND 16 BASO4 REFERENCE REFLECTANCE PANELS [J].
JACKSON, RD ;
CLARKE, TR ;
MORAN, MS .
REMOTE SENSING OF ENVIRONMENT, 1992, 40 (03) :231-239
[7]   Nondestructive assessment of the severity of occlusal caries lesions with near-infrared imaging at 1310 nm [J].
Lee, Chulsung ;
Lee, Dustin ;
Darling, Cynthia L. ;
Fried, Daniel .
JOURNAL OF BIOMEDICAL OPTICS, 2010, 15 (04)
[8]  
Lu R, 2010, T ASABE, V53, P263
[9]   Hyperspectral scattering for assessing peach fruit firmness [J].
Lu, RF ;
Peng, YK .
BIOSYSTEMS ENGINEERING, 2006, 93 (02) :161-171
[10]   Visible/near-infrared hyperspectral imaging for beef tenderness prediction [J].
Naganathan, Govindarajan Konda ;
Grimes, Lauren M. ;
Subbiah, Jeyamkondan ;
Calkins, Chris R. ;
Samal, Ashok ;
Meyer, George E. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2008, 64 (02) :225-233