作者单位
摘要
基于多目标优化方法,针对几个常用于评价多光谱相机性能的参数峰值信噪比(PNSR)、拟合优度系数(GFC)、CIE色差评价系数(CIEDE2000)和均方误差(MSE),及其对应的最大值或最小值,按照最优排序集分的方法,得到了各评价参数均可以得到较好取值的最优滤色器。和前期研究相比,待选滤色片数量由45增加为1035,同时成像场景的反射率样本数量由24增加为1269。结果表明,待选滤色片数量和反射率向量空间增加后,最优滤色器的性能更好;同时描述最优滤色器的光谱透过率向量矩阵自身的三个参数即滤色器向量矩阵的条件数(Cond)、峰值均匀度指数(UF)和相邻滤色片交叠度指数(OLP)的数值也更加稳定。实验结果可为通过滤色器向量矩阵定量选取宽带多光谱滤色片提供参考。
成像系统 多光谱和高光谱成像 宽带滤色器 光谱灵敏度优化 光谱向量空间 多目标优化 
光学学报
2020, 40(4): 0411001
Author Affiliations
Abstract
1 Science and Technology on Electronic Test & Measurement Laboratory, The 41st Research Institute of CETC, Qingdao 266555, China
2 School of Information Science & Engineering and Shandong Provincial Key Laboratory of Laser Technology and Application, Shandong University, Jinan 250100, China
3 Institute of Applied Electronics, China Academy of Engineering Physics, Mianyang 621900, China
A double-pass grating imaging spectrometer is proposed and demonstrated. The traditional entrance slit is replaced by a middle reflective slit, which is used as a spectral filter rather than a spatial filter. The light from the scene passes through the same dispersive grating twice. The full image of the scene can be obtained with a snapshot. Therefore, the stripe noise and image distortion caused by image mosaicking can be eliminated. Besides, the target is easier to be captured and focused, just like using a camera. This method can be used to obtain clearer spectral images of the scene conveniently and quickly.
120.6200 Spectrometers and spectroscopic instrumentation 110.4234 Multispectral and hyperspectral imaging 300.6190 Spectrometers 
Chinese Optics Letters
2019, 17(1): 011202
Author Affiliations
Abstract
1 School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
2 University of Chinese Academy of Sciences, Beijing 100853, China
3 Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
This Letter proposes a snapshot imaging spectrometer, which obtains the spectral information and spatial information in one “shot”. The device proposed can achieve the data cube size of 21×29×40 in the waveband of 400–800 nm. The core element of this system is the microlens array, which contains 60×60 microlenses in a square arrangement, each microlens has an aperture of 125 μm×125 μm, and the F number is 15. The microlens array is mounted in a rotation mount, which provides 360° of rotation around the optical axis to maximize the spectral resolution. The final resolution of the system is about 10 nm.
110.4234 Multispectral and hyperspectral imaging 120.4640 Optical instruments 300.6190 Spectrometers 
Chinese Optics Letters
2019, 17(1): 011101
作者单位
摘要
1 中国科学院上海技术物理研究所, 空间主动光电技术重点实验室, 上海 200083
2 中国科学院大学, 北京 100049
在颜色测量领域区分相似颜色的样品是非常困难的。 测量颜色的准确性和高效性对于工业上的应用非常重要。 提出了一种基于超光谱成像技术的色彩测量的方法, 并设计制成原理样机系统。 该系统能够快速准确的测量彩色样品的光谱, 并在分析后可得丰富的颜色数据与颜色坐标。 该方法克服了传统测色方法“测谱不成像, 成像不测谱”的局限性。 为了评估系统的性能, 进行分析和实验: 比较细分的每个波段的信噪比, 并使用光谱匹配技术来比较彩色照相机和所设计的系统在颜色测量方面的优缺点。 结果表明, 本系统提供了一种更精确的颜色测量方法, 可以有效地测试产品颜色的质量。
超光谱和高光谱成像 颜色测量 光谱匹配 光谱反射率 Multispectral and hyperspectral imaging Color measurement Spectral angle Spectral reflectance 
光谱学与光谱分析
2018, 38(10): 3310
Author Affiliations
Abstract
Institute of Space Optics, School of Science, Xi’an Jiaotong University, Xi’an 710049, China
A background removal method based on two-dimensional notch filtering in the frequency domain for polarization interference imaging spectrometers (PIISs) is implemented. According to the relationship between the spatial domain and the frequency domain, the notch filter is designed with several parameters of PIISs, and the interferogram without a background is obtained. Both the simulated and the experimental results demonstrate that the background removal method is feasible and robust with a high processing speed. In addition, this method can reduce the noise level of the reconstructed spectrum, and it is insusceptible to a complicated background, compared with the polynomial fitting and empirical mode decomposition (EMD) methods.
300.0300 Spectroscopy 070.0070 Fourier optics and signal processing 110.4234 Multispectral and hyperspectral imaging 
Chinese Optics Letters
2016, 14(12): 123002
Author Affiliations
Abstract
Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
We develop a prototype endoscope system that can perform high-dynamic-range structure imaging and hyperspectral imaging. The system is used to successfully acquire the oxyhemoglobin spectrum of blood capillaries and obtain in vivo images of the various vascular pattern structures of the underside of the human tongue with high intrinsic contrast and high dynamic range. The dynamic range of the acquired high-dynamic-range mucosa image is 116.5 dB, which is 68.2 dB higher than that of the mucosa images acquired by a normal low-dynamic-range CCD. Our results demonstrate the system’s tremendous potential for the clinical diagnosis of gastrointestinal diseases.
170.2150 Endoscopic imaging 110.4234 Multispectral and hyperspectral imaging 
Chinese Optics Letters
2015, 13(7): 071701
Author Affiliations
Abstract
School of Digital Media and Art Design, Hangzhou Dianzi University, Hangzhou 310018, China
A method based on the XYZLMS interim connection space is proposed to accurately acquire the multi-spectral images by digital still cameras. The XYZLMS values are firstly predicted from RGB values by polynomial model with local training samples and then spectral reflectance is constructed from XYZLMS values by pseudo-inverse method. An experiment is implemented for multi-spectral image acquisition based on a commercial digital still camera. The results indicate that multi-spectral images can be accurately acquired except the very dark colors.
330.1715 Color, rendering and metamerism 330.1730 Colorimetry 110.4234 Multispectral and hyperspectral imaging 
Chinese Optics Letters
2014, 12(11): 113302
Author Affiliations
Abstract
There is a need to develop a non-destructive and fast detection method for bruising of fruits because the injuries lower quality of fruits, which lead to economic loss. In this paper, we propose a method to detect the bruise on apple surface with hyperspectral imaging technique. A hyperspectral image system consisting of a CCD digital camera, a line scanning spectrometer and a movable platform is designed to acquire the hyperspectral images of injured apples. Two models are established to distinguish the injured area on the surface from the normal area based on image processing technique with spatial clustering and Spectral Angle Mapper Classification (SAM), respectively. The discrimination accuracy of the SAM model is up to 100%, which is much higher than the spatial clustering model.
110.4234 Multispectral and hyperspectral imaging 100.2960 Image analysis 300.6170 Spectra 
Chinese Optics Letters
2014, 12(s1): S11101
Author Affiliations
Abstract
1 School of Engineering, Jiangxi Agricultural University, Nanchang 330045, China
2 School of Mechanical and Electronical Engineering, East China Jiaotong University, Nanchang 330013, China
A hyperspectral imaging system is developed to detect dichlorvos residue on the surface of navel orange. After acquiring hyperspectral images of 400 navel oranges, the actual content of dichlorvos residue is measured by gas chromatography. Optimal wavelengths are extracted using the regression coefficients of partial least squares (PLS), and a PLS model with 12 factors is established. In the prediction set of 0.2282?11.652-mg/kg pesticide residue, the correlation coefficient and the root mean standard error are 0.8320 and 1.3416, respectively. The hyperspectral imaging technology can meet the requirement of online fast nondestructive detection.
高光谱成像 偏最小二乘 无损检测 敌敌畏 脐橙 110.4234 Multispectral and hyperspectral imaging 300.6490 Spectroscopy, surface 100.2000 Digital image processing 
Chinese Optics Letters
2010, 8(11): 1050
Author Affiliations
Abstract
1 School of Mathematics and Computer Science, Hubei University, Wuhan 430062, China
2 Computer School, Wuhan University, Wuhan 430079, China
3 Institute of Image Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
A new multispectral image fusion method based on intensity-hue-saturation (IHS) transform and three-channel non-separable wavelets whose dilation matrix is [2,1;–1,1] is proposed. The multi-resolution decompositions of the intensity of multispectral image and panchromatic image are performed in nonsubsampled mode using the three-channel non-separable wavelet filter bank. The approximation images and the detail images of the multi-resolution pyramids are fused. The experimental results show that this method has good visual effect. The performance outperforms the IHS fusion method, the discrete wavelet transform (DWT) fusion method, and the IHS-DWT fusion method in preserving spectral quality and high spatial resolution information.
图像融合 不可分小波 多光谱图像 全色图像 100.2000 Digital image processing 100.7410 Wavelets 110.3000 Image quality assessment 110.4234 Multispectral and hyperspectral imaging 
Chinese Optics Letters
2010, 8(4): 384

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