作者单位
摘要
华中科技大学 光学与电子信息学院 光电工程系, 武汉 430074
为了准确测量光电成像系统的绝对光谱响应效率, 采用光学系统光能量传递公式以及图像传感器的物理模型, 得到了光电成像系统绝对光谱响应效率的计算公式, 在此基础上设计了基于积分球、多光谱发光二极管光源、标准探测器及透射式平行光管的光电成像系统绝对光谱响应效率测量装置, 并对光谱响应效率已知的可见光数字相机进行实验测量和分析。结果表明, 在380nm~1100nm波长范围内测量装置测得的可见光数字相机的绝对光谱响应效率与标准值具有较好的一致性, 最大相对误差为1.7%, 各波长点的测量不确定度在置信概率为95%时均小于0.2%, 满足一般的测量要求。该装置能够准确地对光电成像系统的绝对光谱效应效率进行测量。
成像系统 图像传感器 绝对光谱响应 标准探测器 imaging systems image sensor absolute spectral response standard detector 
激光技术
2021, 45(1): 121
作者单位
摘要
华中科技大学 光学与电子信息学院,武汉 430074
为了改善成像光谱仪的检测能力,在不改变硬件结构的情况下,采用光谱细化最优化的新方法,利用液晶可调谐滤光片式成像光谱仪,取得了入射光近似光谱数据,进行了理论分析和实验验证。结果表明,在3组数值仿真数据中,相较于成像光谱仪测量光谱,该方法得到的近似光谱与入射光真实光谱的光谱强度差的标准差分别减小了79.3%,68.3%和58.8%;在两组实验数据中,标准差分别减小了84.4%和60.7%;求解得到的近似光谱与入射光真实光谱的近似程度得到了显著提高,较好地分离了相隔较近的光谱峰。这一研究改善了成像光谱仪的光谱检测能力。
光谱学 光谱分辨率 最优化方法 成像光谱仪 spectroscopy spectral resolution optimization method imaging spectrometer 
激光技术
2018, 42(2): 196
Author Affiliations
Abstract
Wuhan National Laboratory for Optoelectronics College of Optoelectronic Science and Engineering Huazhong University of Science and Technology, Wuhan 430074, P. R. China
The water quality testing principle by surface plasmon resonance (SPR) is introduced. Using the scanning mode angular spectral testing and the CCD angular spectral testing, a kind of highresolution, wide-range, and portable optical waveguide SPR angular spectral testing system is studied, the method of improving the testing accuracy is discussed, and a long-life surface plasmon optical waveguide transducer is also proposed. Utilizing the SPR testing system, we contrastively tack some test for several sorts of solution, the results presented that significant differences of SPR peaks observed in different sorts of liquid, which indicated the effectiveness of SPR technology used in water quality testing and analysis.
Surface plasmon resonance optical waveguide angular spectral water quality analysis 
Journal of Innovative Optical Health Sciences
2010, 3(2): 135
Author Affiliations
Abstract
College of Optoelectronic Science and Engineering Huazhong University of Science and Technology Wuhan, 430074, P. R. China
A new personal recognition system using the palm vein pattern is presented in this article. It is the first time that the palm vein pattern is used for personal recognition. The texture feature of palm vein is extracted by wavelet decomposition. With our palm vein image database, we employed the nearest neighbor (NN) classifier to test the performance of the system. Experimental results show that the algorithm based on wavelet transform can reach a correct recognition rate (CRR) of 98.8%.
Biometrics wavelet transform vein pattern 
Journal of Innovative Optical Health Sciences
2010, 3(2): 131–134

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