| Autor: |
Jiajing Cao, Jun Chang, Yi Huang, Wenxi Wang, Xinran Guo, Shangnan Zhao |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Spectroscopy, Vol 2023 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2314-4939 |
| DOI: |
10.1155/2023/9187229 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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