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正余弦变换和双调滤波相结合的剪切散斑干涉图像去噪方法

吴荣 陆阳 欧阳爱国

吴荣, 陆阳, 欧阳爱国. 正余弦变换和双调滤波相结合的剪切散斑干涉图像去噪方法[J]. 中国光学(中英文), 2024, 17(2): 435-443. doi: 10.37188/CO.2023-0072
引用本文: 吴荣, 陆阳, 欧阳爱国. 正余弦变换和双调滤波相结合的剪切散斑干涉图像去噪方法[J]. 中国光学(中英文), 2024, 17(2): 435-443. doi: 10.37188/CO.2023-0072
WU Rong, LU Yang, OUYANG Ai-guo. A denoising method combining bitonic filtering and sine-cosine transform for shearography fringe pattern[J]. Chinese Optics, 2024, 17(2): 435-443. doi: 10.37188/CO.2023-0072
Citation: WU Rong, LU Yang, OUYANG Ai-guo. A denoising method combining bitonic filtering and sine-cosine transform for shearography fringe pattern[J]. Chinese Optics, 2024, 17(2): 435-443. doi: 10.37188/CO.2023-0072

正余弦变换和双调滤波相结合的剪切散斑干涉图像去噪方法

基金项目: 国家自然科学基金(No. 52305576)
详细信息
    作者简介:

    吴 荣(1988—),男,江西鄱阳人,博士,讲师,2012年于华东交通大学获得学士学位,2017年于上海大学获得博士学位,主要从事光学测量与图像处理方面的研究。E-mail:rongwu@ecjtu.edu.cn

  • 中图分类号: TH741

A denoising method combining bitonic filtering and sine-cosine transform for shearography fringe pattern

Funds: Supported by National Natural Science Foundation of China (No. 52305576)
More Information
  • 摘要:

    剪切散斑干涉是一种非接触式、全场高精度光学变形测量技术,由于环境等因素导致采集的散斑条纹图像存在大量随机噪声,进而影响测量精度。传统去噪方法在滤除噪声的同时,容易导致条纹边缘信息的丢失甚至破坏。针对该问题,本文提出基于正余弦变换和双调滤波相结合的剪切散斑干涉图像去噪方法。该方法首先对相位条纹图进行正余弦变换获得两幅图像,其次对这两幅图像分别运用双调滤波方法进行去噪,最后将滤波后的两幅图像合并为最终的相位条纹图。实验结果表明:经本文方法滤波后的相位图散斑抑制指数为0.999,平均保持指数为2.995,证明该方法较传统去噪方法能更好地改善相位图质量,且能较大程度地保留相位条纹的细节及边缘信息。

     

  • 图 1  剪切散斑干涉原理

    Figure 1.  Principle of shearography interference

    图 2  正余弦变换和双调滤波相结合的去噪方法

    Figure 2.  Denoising method based on bitonic filtering and sine-cosine transform

    图 3  激光剪切散斑干涉测量实验装置

    Figure 3.  Experimental setup of shearography system

    图 4  各种方法滤波后的相位图及其x轴处相位分布图

    Figure 4.  Phase maps after filtering and diagrams of phase distribution in x-axis

    图 5  滤波前后的正余弦相位图

    Figure 5.  Sine and cosine phase maps before and after filtering

    图 6  各滤波后的相位图及其x轴处相位分布图

    Figure 6.  Phase maps after filtering and corresponding phase distributions in x-axis

    表  1  实验1中各滤波方法不同评价参数对比

    Table  1.   Comparison of evaluation parameters of different filtering methods in experiment 1

    本文方法正余弦中值正余弦高斯正余弦均值原始图
    ENL3.3383.3273.3243.3293.124
    SSI0.9991.0011.0021.0021
    SMPI1.2101.2261.3051.2641
    耗时(s)11.360.790.580.89-
    下载: 导出CSV

    表  2  各滤波方法不同评价参数对比

    Table  2.   Comparison of evaluation parameters of different filtering methods

    本文方法正余弦中值正余弦高斯正余弦均值原始图
    ENL10.2369.58610.05210.0599.368
    SSI0.9570.9890.9650.9651
    SMPI2.9953.4403.1353.1361
    耗时(s)9.760.410.250.24-
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-04-23
  • 修回日期:  2023-05-15
  • 网络出版日期:  2023-07-17

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