Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410019(2021)

Speckle Quality Evaluation Based on Gray Level Co-Occurrence Matrix

Lu Chu1,2, Bin Liu1,2、*, Liang Xu1,2、*, Zhiwei Li1,2, and Baofeng Zhang1,2
Author Affiliations
  • 1School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China
  • 2Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin 300384, China;
  • show less

    The digital image correlation (DIC) method is used to measure the surface deformation of the object, and the true change of the measured object is studied through the deformation of the speckle field. The evaluation method of speckle quality is researched in order to determine the influence of speckle used on measurement accuracy before measurement. According to the specific requirements of the DIC method for speckle images, a speckle quality evaluation method based on gray level co-occurrence matrix (GLCM) is proposed. Perform sub-pixel rigid body translation simulation simulation on the actual speckle image, compare the energy, entropy, contrast, and correlation indicators in GLCM with the measurement results of the DIC method for comparison and analysis, and perform comparison experiments with the average gray second derivative and Shannon entropy. By changing the overall brightness level and brightness distribution of the speckle image, the influence of different lighting conditions on the accuracy of the experimental results is explored. The experimental results show that GLCM is effective in evaluating the quality of speckle images.

    Tools

    Get Citation

    Copy Citation Text

    Lu Chu, Bin Liu, Liang Xu, Zhiwei Li, Baofeng Zhang. Speckle Quality Evaluation Based on Gray Level Co-Occurrence Matrix[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410019

    Download Citation

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

    Category: Image Processing

    Received: Jul. 10, 2020

    Accepted: Aug. 11, 2020

    Published Online: Feb. 24, 2021

    The Author Email: Liu Bin (liangx999@163.com), Xu Liang (liangx999@163.com)

    DOI:10.3788/LOP202158.0410019

    Topics