Paper
5 November 2020 Based on improved curvature filters surface reconstruction
Author Affiliations +
Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 115672A (2020) https://doi.org/10.1117/12.2579815
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
In the process of surface reconstruction, the gradient data inevitably contains noise, which results in poor surface quality. Traditional denoising algorithms have slow processing speed and unsatisfied effects. To realize high precision surface reconstruction, a novel denoising method was presented based on improved curvature filter. The innovative method optimizes the projection operator to enhance the denoising capability of the algorithm. According to the numerical simulation and analysis, the simulation results show that the proposed algorithm can remove noise in the gradient data and contributes to higher accuracy of surface reconstruction.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Wang, Tao Ma, and Chao Chen "Based on improved curvature filters surface reconstruction", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 115672A (5 November 2020); https://doi.org/10.1117/12.2579815
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KEYWORDS
Reconstruction algorithms

Denoising

Gaussian filters

Image filtering

Image enhancement

Optics manufacturing

Phase measurement

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