Acta Optica Sinica, Volume. 38, Issue 8, 0815020(2018)

Filtering Evaluation Method of Phase Images Based on Smooth Spline Fitting

Qihan Zhao1、*, Yonghong Wang1、*, Xinya Gao1, Fangyuan Sun1, Peizheng Yan1, and Lianxiang Yang1,2
Author Affiliations
  • 1 School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
  • 2 Department of Mechanical Engineering, Oakland University, Rochester, Michigan 48309, USA
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    In speckle interferometry, there are a large number of speckle noises in the speckle phase map, which need to be filtered. However, the existing filtering evaluation indexes are not suitable to determine the continuous filtering process of single image, and the automation of the filtering process is difficult to be achieved. Therefore, a filtering evaluation method based on smoothing spline fitting is presented in this paper. Firstly the smoothing spline fitting method is used to process the distribution of the phase map . Secondly, the root-mean-square error is used to evaluate the result of continuous filtering process by the smoothing spline fitting. Finally, the experimental images of speckle interferometry are used to verify the proposed method. The results of the experiment show that the method can realize the quantitative analysis of the filtering effect and the judgment of the completion of the image filtering in continuous filtering process, and the effectiveness and universality of the method are also verified.

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    Qihan Zhao, Yonghong Wang, Xinya Gao, Fangyuan Sun, Peizheng Yan, Lianxiang Yang. Filtering Evaluation Method of Phase Images Based on Smooth Spline Fitting[J]. Acta Optica Sinica, 2018, 38(8): 0815020

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    Paper Information

    Category: Machine Vision

    Received: Mar. 30, 2018

    Accepted: May. 21, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.0815020

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