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Extraction information of moiré fringes based on Gabor wavelet

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Abstract

In the process of extracting information from the moiré fringes, phase information extraction is one of the crucial means. In this paper, Gabor wavelet transform method is proposed to extract phase information of moiré fringes. First, the light intensity of first-ordered moiré fringe is selected to derive the phase based on the Gabor wavelet transform method. Then, to prove that our method is feasible, three flow fields are adopted for experiment, whose phase information is successfully extracted. Finally, the phase information results above are compared with those extracted by Fourier transform method, which proves that the Gabor wavelet transform method has an advantage in reducing noise. In a word, the results provide an effective means for the image processing of moiré fringes.

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Acknowledgements

This work was funded by the National Natural Science Foundation of China (Grant No. 61975083), and the research, innovation plan for Postgraduates for Jiangsu Province (No. KYCX21_0986), and the Innovation and Entrepreneurship Training Program for College Students of Jiangsu Province (Grant No. 202110300038Z).

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Authors and Affiliations

  1. Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Ya-yi Chen, Yun-yun Chen, Wei-hao Cheng, Meng Xu & Jun-yan Zhuang

  2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Yun-yun Chen

  3. School of Physics and Optoelectronic Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Ya-yi Chen, Yun-yun Chen, Wei-hao Cheng, Meng Xu & Jun-yan Zhuang

  4. Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China

    Ya-yi Chen, Yun-yun Chen, Wei-hao Cheng, Meng Xu & Jun-yan Zhuang

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  1. Ya-yi Chen
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  2. Yun-yun Chen
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Correspondence to Yun-yun Chen.

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Chen, Yy., Chen, Yy., Cheng, Wh. et al. Extraction information of moiré fringes based on Gabor wavelet. Opt Rev 29, 197–206 (2022). https://doi.org/10.1007/s10043-022-00736-1

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