Volume 12 Issue 6
Dec.  2019
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Chinese Optics  > 2019  >  12(6): 1329-1337.
HU Hui-ran, DAN Xi-zuo, ZHAO Qi-han, SUN Fang-yuan, WANG Yong-hong. Automatic extraction of speckle area in digital image correlation[J]. Chinese Optics, 2019, 12(6): 1329-1337. doi: 10.3788/CO.20191206.1329
Citation: HU Hui-ran, DAN Xi-zuo, ZHAO Qi-han, SUN Fang-yuan, WANG Yong-hong. Automatic extraction of speckle area in digital image correlation[J]. Chinese Optics, 2019, 12(6): 1329-1337. doi: 10.3788/CO.20191206.1329
shu

Automatic extraction of speckle area in digital image correlation

  • School of Instrument Science and Optoelectronic Engineering, Hefei University of Technology, Hefei 230009, China

Funds:

National Key Research and Development Program of China 2016YFF0101803

National Natural Science Foundation of China 51805137

More Information
  • Corresponding author: WANG Yong-hong, E-mail:yhwang@hfut.edu.cn
  • Received Date: 12 Dec 2018
  • Rev Recd Date: 01 Feb 2019
  • Publish Date: 01 Dec 2019
    Abstract
  • In digital image correlation measurements, the speckle area is manually selected before the correlation calculation is performed to define the matching area. With the development of industrial automation, facing the complex shape of the speckle area and the need to measure a large number of speckle images, it is crucial to find an automatic area extraction method. According to the characteristics of speckles and by comparing various conventional edge detection methods, a decision function based on second-order gradient entropy is proposed for automatically detecting speckle regions in images. By analyzing different speckle images, the optimal sub-region entropy size interval and the adaptive threshold interval in different speckle patterns were determined and the automatic extraction of the speckle region were completed by using connected region segmentation. The method was verified by using the actual speckle pattern. The experimental results show that when the entropy size of the subregion is more than 10 pixel, the decision function is sensitive to the speckle area. When the adaptive threshold value is within the range of Q-1.25 to Q, the speckle area and the background area can be effectively separated. The automatic extraction of a speckle area can be completed and the selection of speckle area before correlation calculation is achieved.

     

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    • References(17)
  • [1]
    胡悦, 王永红, 鲍思源, 等.高温下数字图像相关散斑最优成像探究[J].中国光学, 2018, 11(5):728-735. http://www.chineseoptics.net.cn/CN/abstract/abstract9627.shtml

    HU Y, WANG Y H, BAO S Y, et al.. Optimal imaging of digital image correlation speckle under high temperature[J]. Chinese Optics, 2018, 11(5):728-735.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9627.shtml
    [2]
    MBAREK T B, ROBERT L, HUGOT F, et al.. Mechanical behavior of wood-plastic composites investigated by 3D digital image correlation[J]. Journal of Composite Materials, 2011, 45(26):2751-2764. doi: 10.1177/0021998311410466
    [3]
    WANG Y L, TANG J X, DAI ZH Y, et al.. Experimental study on mechanical properties and failure modes of low-strength rock samples containing different fissures under uniaxial compression[J]. Engineering Fracture Mechanics, 2018, 197:1-20. doi: 10.1016/j.engfracmech.2018.04.044
    [4]
    王永红, 但西佐, 胡悦, 等.基于高速数字图像相关的人车碰撞伤害实验研究[J].光电子·激光, 2017, 28(1):81-86. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gdzjg201701013

    WANG Y H, DAN X Z, HU Y, et al.. Car-pedestrian impact test based on high speed digital image correlation[J]. Journal of Optoelectronics·Laser, 2017, 28(1):81-86.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gdzjg201701013
    [5]
    王伟, 刘振邦, 包宇, 等.数字图像处理技术在扫描电化学显微镜中的应用[J].分析化学, 2018, 46(3):342-347. http://d.old.wanfangdata.com.cn/Periodical/fxhx201803007

    WANG W, LIU ZH B, BAO Y, et al.. Application of digital image processing technology in scanning electrochemical microscope[J]. Chinese Journal of Analytical Chemistry, 2018, 46(3):342-347. http://d.old.wanfangdata.com.cn/Periodical/fxhx201803007
    [6]
    张腾达, 卢荣胜, 杨蕾.DIC中亚像素位移测量的多项式曲面拟合法[J].激光杂志, 2016, 37(11):141-144. http://d.old.wanfangdata.com.cn/Periodical/jgzz201611034

    ZHANG T D, LU R SH, YANG L. Subpixel displacement registration using polynomial surface fitting in DIC[J]. Laser Journal, 2016, 37(11):141-144.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jgzz201611034
    [7]
    姜锦虎, 王海凤, 刘诚.数字散斑图跟相关测量系统抗噪声干扰能力关系的研究—提高相关测量精度途径之一[C].第九届全国实验力学学术会议, 中国力学学会, 2000: 294-297.

    JIANG J H, WANG H F, LIU CH. Research on the relationship between digital speckle pattern and anti-noise ability of related measurement systems—one of the ways to improve the accuracy of related measurements[C]. National Conference on Experimental Mechanics, Chinese Society of Theoretical and Applied Mechanics, 2000: 294-297.(in Chinese)
    [8]
    唐正宗, 梁晋, 肖振中, 等.大变形测量数字图像的种子点匹配方法[J].西安交通大学学报, 2010, 44(11):51-55. http://d.old.wanfangdata.com.cn/Periodical/xajtdxxb201011011

    TANG ZH Z, LIANG J, XIAO ZH ZH, et al.. Digital image correlation method based on seed point for large deformation measurement[J]. Journal of Xi'an Jiaotong University, 2010, 44(11):51-55.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/xajtdxxb201011011
    [9]
    苏勇, 张青川.数字图像相关的噪声导致系统误差及散斑质量评价标准[J].实验力学, 2017, 32(5):699-717. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=sylx201705012

    SU Y, ZHANG Q CH. Noise-induced bias and evaluation criterion of speckle quality in digital image correlation[J]. Journal of Experimental Mechanics, 2017, 32(5):699-717.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=sylx201705012
    [10]
    杜亚志, 王学滨, 冯威武, 等.基于一阶及二阶灰度梯度的散斑图质量评价方法[J].光学技术, 2017, 43(2):169-175. http://d.old.wanfangdata.com.cn/Periodical/gxjs201702017

    DU Y ZH, WANG X B, FENG W W, et al.. Method for speckle pattern quality assessment based on one-order and two-order intensity gradients[J]. Optical Technique, 2017, 43(2):169-175.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjs201702017
    [11]
    付瀚毅, 刘原原.高均匀性小孔径激光照明系统[J].液晶与显示, 2018, 33(7):548-554. http://d.old.wanfangdata.com.cn/Periodical/yjyxs201807002

    FU H Y, LIU Y Y. High uniformity laser illumination system with small aperture[J]. Chinese Journal of Liquid Crystals and Displays, 2018, 33(7):548-554.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/yjyxs201807002
    [12]
    于长淞, 方超.基于小波变换的ESPI图像去噪及边缘提取[J].液晶与显示, 2011, 26(6):818-822. http://d.old.wanfangdata.com.cn/Periodical/yjyxs201106020

    YU CH S, FANG CH. ESPI image denoising and edge extraction based on wavelet transform[J]. Chinese Journal of Liquid Crystals and Displays, 2011, 26(6):818-822.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/yjyxs201106020
    [13]
    王灿进, 石宁宁, 孙涛.同态非局部滤波在激光主动成像散斑抑制中的应用研究[J].液晶与显示, 2016, 31(2):193-200. http://d.old.wanfangdata.com.cn/Periodical/yjyxs201602011

    WANG C J, SHI N N, SUN T. Application of homomorphic non-local filters in speckle noise suppression for laser active imaging[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(2):193-200.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/yjyxs201602011
    [14]
    周心明, 兰赛.图像处理中几种边缘检测算法的比较[J].现代电力, 2000, 17(3):65-69. doi: 10.3969/j.issn.1007-2322.2000.03.013

    ZHOU X M, LAN S. Comparison of the edge detection algorithms in image processing[J]. Modern Electric Power, 2000, 17(3):65-69.(in Chinese) doi: 10.3969/j.issn.1007-2322.2000.03.013
    [15]
    方爱平, 田蓬勃, 贾怡, 等.最大熵原理在概率分布预测中的应用[J].物理与工程, 2017, 27(6):86-89, 94. doi: 10.3969/j.issn.1009-7104.2017.06.019

    FANG A P, TIAN P B, JIA Y, et al.. The application of the maximum entropy principle in the forecast for probability distribution[J]. Physics and Engineering, 2017, 27(6):86-89, 94.(in Chinese) doi: 10.3969/j.issn.1009-7104.2017.06.019
    [16]
    罗锦锋, 苏显渝.数字散斑的仿真建模与变形场测量[J].四川大学学报(自然科学版), 2009, 46(5):1347-1351. doi: 10.3969/j.issn.0490-6756.2009.05.27

    LUO J F, SU X Y. The simulation modeling and deformation field measurements of digital speckles[J]. Journal of Sichuan University(Natural Science Edition), 2009, 46(5):1347-1351. doi: 10.3969/j.issn.0490-6756.2009.05.27
    [17]
    王志勇, 王磊, 郭伟, 等.数字图像相关方法最优散斑尺寸[J].天津大学学报, 2010, 43(8):674-678. doi: 10.3969/j.issn.0493-2137.2010.08.003

    WANG ZH Y, WANG L, GUO W, et al.. Optimal size of speckle spot in digital image correlation method[J]. Journal of Tianjin University, 2010, 43(8):674-678. doi: 10.3969/j.issn.0493-2137.2010.08.003
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