• DocumentCode
    638943
  • Title

    X-ray image mosaic based on scale invariant feature extraction

  • Author

    Wang Yan Wei ; Lin Bing ; Sun Huadong ; Yu Hong

  • Author_Institution
    Harbin Pet. Inst., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • fDate
    4-7 Aug. 2013
  • Firstpage
    1760
  • Lastpage
    1764
  • Abstract
    Image mosaic technology based on scale invariant is proposed in this paper for industrial X-ray image with low contrast and some artefacts. Firstly, scale-invariant feature point extraction algorithm uses of to extract the feature points. Then, the coarse feature points matching based on maximum mutual information, and fine matching based on RANSAC algorithm to removing the fake matching pairs. Experimental results show that the algorithm has good stability, especially with 20 percent Gaussian noise, this algorithm can still be detected feature points actually. Compared with other feature point matching methods, the algorithm maintain stability at the same time improve the matching accuracy.
  • Keywords
    Gaussian noise; X-ray imaging; feature extraction; image segmentation; Gaussian noise; RANSAC algorithm; X-ray image mosaic; scale invariant feature extraction; Accuracy; Circuit breakers; Feature extraction; Mutual information; Noise; Robustness; X-ray imaging; Image mosaic; Maximization of mutual information; RANSAC; Scale-invariant feature points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4673-5557-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2013.6618182
  • Filename
    6618182