Dynamic Deformation Image Deblurring and Image Processing for Digital Imaging Correlation Measurement
-
摘要: 针对材料高应变率动态变形中的高速运动模糊图像，提出了一种基于加载分析的点扩散函数去模糊方法，通过对模糊像素进行卷积，有效地去除了试件高速变形过程中所产生的运动模糊。通过霍普金森杆加载实验验证了该方法的有效性，与原始模糊图像的对比表明，该方法可有效地恢复运动模糊图像，从而提高数字图像相关测量的准确性和稳定性。Abstract: In this research, we proposed a method for deblurring of images captured in the dynamic deformation of materials.By this method, deblurring was achieved based on a dynamic-based approach, which was used to estimate the point spread function (PSF) during the camera exposure window.The deconvolution process involving the iterative matrix calculations of pixels was then performed on the graphics processing unit (GPU) to reduce the time cost.The proposed method was evaluated using the Hopkinson bar loading system.In comparison with the blurry image, the proposed method successfully restored the image.It is also demonstrated from the image processing applications that the deblurring method can improve the accuracy and the stability of the digital imaging correlation measurement.
-
图 1 动态变形模糊图像
((a)参考图像; (b)模糊图像)
Figure 1. Blurry image in dynamic deformation
((a)Reference image; (b)Blurry image)
图 3 去模糊结果
((a)模糊图像; (b)去模糊图像; (c)模糊图像子区; (d)对应去模糊图像子区)
Figure 3. Deblurring result
((a)Blurry image; (b)Deblurred image by the proposed method; (c)Subset of blurry image; (d)Subset of deblurred image)
图 9 原始图像和去模糊图像的应变计算结果比较
Figure 9. Strain results of specimen calculated by original and deblurred images
图 10 整个变形过程中的应变场
Figure 10. Experimental results of specimen under the impact of Hopkinson tensile bar
-
[1] ROSSI M, PIERRON F, FORQUIN P.Assessment of the metrological performance of an in situ storage image sensor ultra-high speed camera for full-field deformation measurements[J]. Meas Sci Technol, 2014, 25(2):025401. doi: 10.1088/0957-0233/25/2/025401 [2] PANKOW M, JUSTUSSON B, WAAS A M.Three-dimensional digital image correlation technique using single high-speed camera for measuring large out-of-plane displacements at high framing rates[J]. Appl Opt, 2010, 49(17):3418-3427. doi: 10.1364/AO.49.003418 [3] CHU T C, RANSON W F, SUTTON M A.Applications of digital-image-correlation techniques to experimental mechanics[J]. Exp Mech, 1985, 25(3):232-244. doi: 10.1007/BF02325092 [4] JIANG L, XIE H, PAN B.Speeding up digital image correlation computation using the integral image technique[J]. Opt Laser Eng, 2015, 65:117-122. doi: 10.1016/j.optlaseng.2014.07.001 [5] PIERRON F, SUTTON M A, TIWARI V.Ultra high speed DIC and virtual fields method analysis of a three point bending impact test on an aluminium bar[J]. Exp Mech, 2011, 51(4):537-563. doi: 10.1007/s11340-010-9402-y [6] MAENO S, WANG J, FUKUDA S, et al.Observation and analysis of microbubble motion induced by an underwater shock wave[C]//29th International Symposium on Shock Waves 2.Springer International Publishing, 2015. [7] YIN L, SHAO Y M, LIU J, et al.Impact damage evaluation method of friction disc based on high-speed photography and tooth-root stress coupling[J]. J Phys Conf Ser, 2015, 628(1):012085. http://adsabs.harvard.edu/abs/2015JPhCS.628a2085Y [8] HIJAZI A, MADHAVAN V.A novel ultra-high speed camera for digital image processing applications[J]. Meas Sci Technol, 2008, 19:0855038. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=9118293ef49b84981bef8154b9b0fcaf [9] DESPREZ T F, DOMAS S.Deformation of the globe under high-speed impact:its relation to contusion injuries[J]. J Econ Dyn Control, 1986(1/2):163-165. http://europepmc.org/abstract/MED/5772720 [10] JIANG X G, WANG Y, YANG Z Y, et al.Time-resolved measure technique for electron beam envelope basing on synchronous framing and streaking principle[J]. Ads Abstract Service, 2015. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=Arxiv000001102935 [11] SIEMROTH P, SCHULKE T, WITKE T.Microscopic high speed investigations of vacuum arc cathode spots[J]. IEEE Trans Plas Sci, 1995, 23(6):919-925. doi: 10.1109/27.476476 [12] MENDIS S, KEMENY S E, FOSSUM E R.CMOS active pixel image sensor[J]. IEEE T Electron Dev, 1994, 41(3):452-453. doi: 10.1109/16.275235 [13] KRYMSKI A, VAN BLERKOM D, ANDERSSON A, et al.A high speed, 500frames/s, 1 024×1 024 CMOS active pixel sensor[C]//1999 Symposium on VLSI Circuits Digest of Technical Papers.IEEE, 1999. [14] NISHIKAWA Y, KAWAHITO S, FURUTA M, et al.A high-speed CMOS image sensor with on-chip parallel image compression circuits[C]//IEEE Custom Integrated Circuits Conference, 2007. [15] CREMERS B, AGARWAL M, WALSCHAP T, et al.A high speed pipelined snapshot CMOS image sensor with 6.4 Gpixel/s data rate[C]//International Image Sensor Workshop.Bergen, 2009. [16] CROOKS J, MARSH B, TURCHETTA R, et al.Kirana: a solid-state megapixel uCMOS image sensor for ultrahigh speed imaging[C]//IS&T/SPIE Electronic Imaging, 2013. [17] HONOUR J.A brief history of principles used in high speed cameras[J]. Imag Sci J, 2009, 57(6):303-316. doi: 10.1179/136821909X12490307953035 [18] KIM M D, UEDA J.Real-time image de-blurring and image processing for a robotic vision system[C]//IEEE International Conference on Robotics and Automation, 2015. [19] MISKIN J, MACKAY D J.Ensemble learning for blind image separation and deconvolution[M]//Advances in Independent Component Analysis.Springer, 2000: 123-141. [20] FERGUS R, SINGH B, HERTZMANN A, et al.Removing camera shake from a single photograph[C]//ACM Transactions on Graphics (TOG).ACM, 2006. [21] SHAN Q, JIA J, AGARWALA A.High-quality motion deblurring from a single image[C]//ACM Transactions on Graphics (TOG).ACM, 2008. [22] TIWARI V, SUTTON M A, MCNEILL S R.Assessment of high speed imaging systems for 2D and 3D deformation measurements:methodology development and validation[J]. Exp Mech, 2007, 47(4):561-579. doi: 10.1007/s11340-006-9011-y [23] KAILATH T.Linear systems[M]. Englewood Cliffs:Prentice-Hall, 1982. [24] CHEN C T.Linear system thoery and design[M]. Oxford University Press, 1995. [25] LI Y, RAMESH K T.An optical technique for measurement of material properties in the tension Kolsky bar[J]. Int J Impact Eng, 2007, 34(4):784-798. doi: 10.1016/j.ijimpeng.2005.12.002 [26] ZHU F, ZHAO L, LU G, et al.A numerical simulation of the blast impact of square metallic sandwich panels[J]. Int J Impact Eng, 2009, 36(5):687-699. doi: 10.1016/j.ijimpeng.2008.12.004 [27] RICHARDSON W H.Bayesian-based iterative method of image restoration[J]. JOSA, 1972, 62(1):55-59. doi: 10.1364/JOSA.62.000055 [28] GRAY G T.Classic split-Hopkinson pressure bar testing[M]//ASM handbook.Ohio:ASM International, Materials Park, 2000:462-476. [29] MEYERS M A.Dynamic behavior of materials[M]. John Wiley & Sons, 1994. [30] KOLSKY H.An investigation of the mechanical properties of materials at very high rates of loading[J]. Proc Phys Soc B, 1949, 62(11):676. doi: 10.1088/0370-1301/62/11/302 [31] 陈荣, 卢芳云, 林玉亮, 等.分离式Hopkinson压杆实验技术研究进展[J].力学进展, 2009, 39(5):576-587. doi: 10.3321/j.issn:1000-0992.2009.05.007CHEN R, LU F Y, LIN Y L, et al.A critical review of split Hopkinson pressure bar technique[J]. Advances in Mechanics, 2009, 39(5):576-587. doi: 10.3321/j.issn:1000-0992.2009.05.007 [32] 段祝平, 孙琦清, 杨大光, 等.高应变率下金属动力学性能的实验与理论研究——一维杆的实验方法及其应用[J].力学进展, 1980, 10(1):3-18. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK000002170041 [33] 范亚夫, 魏延鹏, 薛跃军, 等.数字图像相关测试技术在霍普金森杆加载实验中的应用[J].实验力学, 2015, 30(5):590-598. http://d.old.wanfangdata.com.cn/Periodical/sylx201505006FAN Y F, WEI Y P, XUE Y J, et al.On the application of digital image correlation testing technology in Hopkinson bar loading[J]. Journal of Experimental Mechanics, 2015, 30(5):590-598. http://d.old.wanfangdata.com.cn/Periodical/sylx201505006 -
下载:
点击查看大图
图(11)
计量
- 文章访问数: 6580
- HTML全文浏览量: 2811
- PDF下载量: 192
