中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Differential Confocal Optical Probes with Optimized Detection Efficiency and Pearson Correlation Coefficient Strategy Based on the Peak-Clustering Algorithm

文献类型:期刊论文

作者Z. Wang, T. Wang, Y. Yang, X. Mi and J. Wang
刊名Micromachines
出版日期2023
卷号14期号:6
ISSN号2072666X
DOI10.3390/mi14061163
英文摘要Quantifying free-form surfaces using differential confocal microscopy can be challenging, as it requires balancing accuracy and efficiency. When the axial scanning mechanism involves sloshing and the measured surface has a finite slope, traditional linear fitting can introduce significant errors. This study introduces a compensation strategy based on Pearson’s correlation coefficient to effectively reduce measurement errors. Additionally, a fast-matching algorithm based on peak clustering was proposed to meet real-time requirements for non-contact probes. To validate the effectiveness of the compensation strategy and matching algorithm, detailed simulations and physical experiments were conducted. The results showed that for a numerical aperture of 0.4 and a depth of slope © 2023 by the authors.
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源URL[http://ir.ciomp.ac.cn/handle/181722/68003]  
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
Z. Wang, T. Wang, Y. Yang, X. Mi and J. Wang. Differential Confocal Optical Probes with Optimized Detection Efficiency and Pearson Correlation Coefficient Strategy Based on the Peak-Clustering Algorithm[J]. Micromachines,2023,14(6).
APA Z. Wang, T. Wang, Y. Yang, X. Mi and J. Wang.(2023).Differential Confocal Optical Probes with Optimized Detection Efficiency and Pearson Correlation Coefficient Strategy Based on the Peak-Clustering Algorithm.Micromachines,14(6).
MLA Z. Wang, T. Wang, Y. Yang, X. Mi and J. Wang."Differential Confocal Optical Probes with Optimized Detection Efficiency and Pearson Correlation Coefficient Strategy Based on the Peak-Clustering Algorithm".Micromachines 14.6(2023).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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