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DOI QR Code

VISUAL MEASUREMENT METHOD USING A CIRCULAR GROOVE IMAGE FOR MEASURING INTERNAL DEFECTS OF PIPES IN NUCLEAR POWER PLANT

  • Choi, Young-Soo (Nuclear Robotics Lab. Korea Atomic Energy Research Institute) ;
  • Jeong, Kyung-Min (Nuclear Robotics Lab. Korea Atomic Energy Research Institute) ;
  • Lee, Sung-Uk (Nuclear Robotics Lab. Korea Atomic Energy Research Institute) ;
  • Jung, Seung-Ho (Nuclear Robotics Lab. Korea Atomic Energy Research Institute)
  • 발행 : 2008.08.31

초록

During the overhaul period of nuclear power plants in Korea, an ROV(Remotely Operated Vehicle) enters the cold-leg pipes connected with the reactor to examine the state of the thermal sleeves and their positions in the safety injection nozzles. To measure the positions of the thermal sleeves or scratches with video images recorded during the examination, time-varying camera parameters should be known, such as the focal length and principal points used for the capturing each video image. In this paper, we propose a camera calibration and measurement scheme by using a single image containing two circular grooves of a cylindrical nozzle whose radius and distance are known.

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참고문헌

  1. R. Y. Tsai, 'A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses,' IEEE Journal of Robotics and Automation, Vol. RA-3, No. 4, pp.323-344 (1987)
  2. Z. Zhang,' Flexible Camera Calibration By Viewing a Plane From Unknown Orientations,' International Conference on Computer Vision, pp. 666-673 (1999)
  3. J. Salvi, X. Armangue, and J. Batlle, 'A comparative review of camera calibrating methods with accuracy evaluation,' Pattern Recognition 35, pp. 1617-1635 (2002) https://doi.org/10.1016/S0031-3203(01)00126-1
  4. R. Hartley and A. Zisserman, Multiple View Geometry in computer vision, Cambridge University Press (2000)
  5. D.A. Forsyth, J. Ponce, Computer Vision A Modern Approach, Prentice Hall (2003)
  6. A. Criminisi, Accurate Visual Metrology from Single and Multiple Uncalibrated Images, Springer (2001)
  7. J.-Y. Guillemaut, A. S. Aguado and J. Illingworth, Using Points at Infinity for Parameter Decoupling in Camera Calibration,' Pattern Recognition, Vol.36, No. 5, pp. 1155-1164 (2003) https://doi.org/10.1016/S0031-3203(02)00225-X
  8. Jana Kosecka and Wei Zhang,'Video Compass,' ECCV, Vol.4, pp.476-490 (2002)
  9. R. Cipolla, T. Drummond and D. Robertson, 'Camera calibration from vanishing points in images of architectural scenes,' Proc. British Machine Vision Conference, pp.382-391 (1999)
  10. Yong-In, Yoon, Jang-Hwan Im, Dae-Hyun Kim, Jong-Soo Choi , '3D Reconstruction using three vanishing points from a single image,' Proc. of International Technical Conference on Circuits/Systems, Computers and Communications (2002)
  11. Marta Wilczkowiak_ Edmond Boyer Peter Sturm, 'Camera Calibration and 3D Reconstruction from Single Images Using Parallelepipeds,' Proc. of the 8th International Conference on Computer Vision, Vol.1,pp.142-148 (2001)
  12. Guanghui Wanga,b, Hung-Tat Tsuia, Zhanyi Hub, Fuchao Wub,'Camera Calibration and 3D Reconstruction from a Single View Based on Scene Constraints,' Image and Vision Computing,Vol. 23,No. 3,pp.311-323 (2005) https://doi.org/10.1016/j.imavis.2004.07.008
  13. Yihong Wu, Guanghui Wang, Fuchao Wu, Zhanyi Hu, 'Euclidean Reconstruction of a Circular Truncated Cone only from its Uncalibrated Contours,' Image and Vision Computing, Vol.24, No.8 , pp.810-818 (2006) https://doi.org/10.1016/j.imavis.2006.02.001
  14. X. Meng, H. Li and Z. Hu,'A New Easy Camera Calibration Technique Based on Circular Points,' Pattern Recognition. Vol. 36, No. 5, pp. 1155-1164 (2003) https://doi.org/10.1016/S0031-3203(02)00225-X
  15. Jun-Sik Kim, Ho-Won Kim and In So Kweon, 'A camera calibration method using concentric circles for vision applications', The 5th Asian Conference on Computer Vision, pp. 515-520 (2002)
  16. Carlo Colombo alberto Del Bimbo, and Federico Pernici, Metric 3D Reconstruction and Texture Acquisition of Surfaces of Revolution from a Single Uncalibrated View, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.27, No.1, pp.99-114 (2005) https://doi.org/10.1109/TPAMI.2005.14
  17. Y. H. Wu, X. J. Li, F. C. Wu, and Z. Y. Hu, Coplanar circles, quasi-affine invariance and calibration, Image and Vision Computing, Vol.24, No.4, pp:319-326 (2006) https://doi.org/10.1016/j.imavis.2005.11.008