Browse > Article
http://dx.doi.org/10.9717/kmms.2021.24.6.753

Real-time Tensile Strain Measurement System based on ArUco Marker  

Lee, Seung-Ah (Dept. of Computer and Communications Engineering, Kangwon National University)
Kim, Dohyeon (Dept. of Computer and Communications Engineering, Kangwon National University)
Kim, Yoon (Dept. of Computer and Communications Engineering, Kangwon National University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.6, 2021 , pp. 753-759 More about this Journal
Abstract
During tensile test, tensile strain of tensile tester is measured by movement distance of upper zig and initial specimen's length. Conventional tensile tester program obtains the tensile strain after the end of the test, however the method is not appropriate in real time because the results are calculated until the test is finished. We suggest a real-time measurement system of tensile strain using ArUco Marker in OpenCV library. The system is designed to detect marker attached on the upper zig and calculate specimen's tensile strain. According to comparison of the calculated data and the results of the tester, errors approximately showed 0.128 mm on 3840×2160 video resolution.
Keywords
Tensile Strain; OpenCV; ArUco Marker;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S.A. Lee and Y. Kim, "A Development of ArUco Marker-based Tensile Measurement System for Rubber Specimen," Proceeding of the Spring Conference of the Korea Multimedia Society, pp. 197-199, 2021.
2 N. Otsu, "A Thresholding Selection Method from Gray-level Histogram," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-66, 1979.   DOI
3 Y.M. Wang, Y. Li, and J.B. Zheng, "A Camera Calibration Technique based on OpenCV," The 3rd International Conference on Information Sciences and Interaction Sciences, pp. 403-406, 2010.
4 S. Garrido-Jurado, R. Munoz-Salinas, F.J. Madrid-Cuevas, and M.J. Marin-Jimenez, "Automatic Generation and Detection of Highly Reliable Fiducial Markers Under Occlusion," Pattern Recognition, Vol. 47, No. 6, pp.2280-2292, 2014.   DOI
5 N. Altman and M. Krzywinski, "Simple Linear Regression," Nature Mtehods 12, pp. 999-1000, 2015.
6 G. Bradski and A. Kaehler, "OpenCV," Dr. Dobb's Journal of Software Tools, Vol. 25, pp. 120-125, 2000.
7 G. Bradski and A. Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library, O'Reilly Media, Inc., 2008.
8 J.H. Lee and K. Yi, "A Method of Lane Marker Detection Robust to Environmental Variation Using Lane Tracking," Journal of Korea Multimedia Society, Vol. 21, No. 12, pp. 1396-1406, 2018.   DOI
9 J.W. Moon, D.W. Park, H.S. Jung, Y.H. Kim, and S.S. Hwang, "An Image-based Augmented Reality System for Multiple Users using Multiple Markers," Journal of Korea Multimedia Society, Vol. 21, No. 10, pp. 1162-1170, 2018.   DOI