Optical Design and Simulation of Snapshot Hyperspectral Dental Imaging Spectrometer with One-Dimensional Random Coding
文献类型:期刊论文
作者 | J. Cao, J. Chang, Y. Huang, W. Wang, X. Guo and S. Zhao |
刊名 | Journal of Spectroscopy
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出版日期 | 2023 |
卷号 | 2023 |
ISSN号 | 23144920 |
DOI | 10.1155/2023/9187229 |
英文摘要 | To achieve perfect teeth color reproduction, we propose the design of a snapshot hyperspectral imaging spectrometer that can accurately measure the teeth spectrum. In this paper, the optical system of a snapshot hyperspectral dental imaging spectrometer is designed. In particular, to encode images in both the spatial and spectral dimensions, a one-dimensional random coding mask rotated 45 degrees around the optical axis is used. The system has a spectral resolution of approximately 2.2∼10 nm in the 450∼700 nm spectral range, and the total length of the system is less than 150 mm. The whole design can be used as a miniaturized handheld instrument. To verify the feasibility of whiteness measuring, a simulation experiment is carried out. The target spectral information is reconstructed through the reconstruction algorithm. The simulation result shows that spectral imaging has the potential to improve the accuracy and precision of teeth whiteness measurements. © 2023 Jiajing Cao et al. |
URL标识 | 查看原文 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/67353] ![]() |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | J. Cao, J. Chang, Y. Huang, W. Wang, X. Guo and S. Zhao. Optical Design and Simulation of Snapshot Hyperspectral Dental Imaging Spectrometer with One-Dimensional Random Coding[J]. Journal of Spectroscopy,2023,2023. |
APA | J. Cao, J. Chang, Y. Huang, W. Wang, X. Guo and S. Zhao.(2023).Optical Design and Simulation of Snapshot Hyperspectral Dental Imaging Spectrometer with One-Dimensional Random Coding.Journal of Spectroscopy,2023. |
MLA | J. Cao, J. Chang, Y. Huang, W. Wang, X. Guo and S. Zhao."Optical Design and Simulation of Snapshot Hyperspectral Dental Imaging Spectrometer with One-Dimensional Random Coding".Journal of Spectroscopy 2023(2023). |
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