Abstract
The iterative Gaussian filter method is proposed to eliminate the phase error of the wrapped phase (which is recovered from the low-quality fringe images). The main approach is regenerating the fringe images from the wrapped phase and performed the iterative Gaussian filter. Generally, the proposed iterative Gaussian filter method can filter the noise without interference from reflectivity, improve the measurement accuracy and recover the wrapped phase information from the low-quality fringe images. The proposed method is verified by the experiment results. For the binocular system, the proposed method can improve the measurement accuracy (the root mean square (RMS) deviations of measurement results can reach 0.0094 mm).
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Acknowledgements
This study is supported by the National Natural Science Foundations of China (NSFC) (Grant No. 51975344, No. 51535004) and China Postdoctoral Science Foundation (Grant No. 2019M662591).
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Chen, L., Yun, J., Xu, Z., Huan, Z. (2020). Iterative Phase Correction Method and Its Application. In: Chan, C.S., et al. Intelligent Robotics and Applications. ICIRA 2020. Lecture Notes in Computer Science(), vol 12595. Springer, Cham. https://doi.org/10.1007/978-3-030-66645-3_3
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DOI: https://doi.org/10.1007/978-3-030-66645-3_3
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