Laser & Optoelectronics Progress, Volume. 60, Issue 14, 1410004(2023)

Optical Microscopy Image Restoration and Its Application in Strain Measurements Using the Digital Image Correlation Method

Wei Han and Dan Wu*
Author Affiliations
  • School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, Zhejiang, China
  • show less

    As a direct and effective non-contact full-field optical measurement method, the digital image correlation method has been widely used in 2D/3D displacement and strain measurements of materials and structures in various fields. Combined with advanced speckle preparation technology, in situ loading experiments are conducted under a microscope, which can realize the displacement and strain measurements of micro-scale digital image correlation. Out-of-plane displacement inevitably occurs in the loading process of specimens at the micro scale. Because of the limitations of the depth of field of optical microscopes, small out-of-plane displacement leads to defocus blurring of speckle images, which generates a corresponding error in deformation measurements. To reduce the error caused by out-of-focus blur, the blind deconvolution method is used to blur the speckle image, and the Gaussian filtering method is used to denoise the speckle image to address noise problems. The effects of image restoration on the digital image correlation measurement accuracy are analyzed quantitatively, and a stretching experiment of an indium tin oxide (ITO) film is conducted. Experimental results show that the error in elastic modulus measurement after image restoration is reduced by 13.91%, and the accuracy and stability of the strain measurement results are higher.

    Tools

    Get Citation

    Copy Citation Text

    Wei Han, Dan Wu. Optical Microscopy Image Restoration and Its Application in Strain Measurements Using the Digital Image Correlation Method[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jun. 13, 2022

    Accepted: Aug. 20, 2022

    Published Online: Jul. 17, 2023

    The Author Email: Wu Dan (wudan@nbu.edu.cn)

    DOI:10.3788/LOP221822

    Topics