전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제59권8호
  • /
  • Pages.1471-1476
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  • 2010
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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강인한 광학 영상 정합 알고리즘

Robust Matching Algorithm for Optical Images

  • 양한진 (군산대학교 전자정보공학부) ;
  • 주영훈 (군산대학교 제어로봇공학과)
  • 투고 : 2010.05.24
  • 심사 : 2010.07.11
  • 발행 : 2010.08.01
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초록

This paper proposes the robust matching algorithm of the optical images. To do this, we propose two algorithms, that is, matching algorithms when the silhouette of images is detected and when it is not detected. Also, we propose the method for detecting the matching template and non-matching template from each optical image. And then, optical images are matched according to the coefficient of correlation represented by the similar degree between optical images. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

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참고문헌

  1. 홍헬렌, "의료분야에서의 영상정합 연구", 한국정보과학회논문지, Vol. 23, No. 10, pp. 61-67. 2005, 12.
  2. X. N. Cui and H. I. Kim, "Metal Pad Discolored Image Classification Algorithm using Geometric Texture Information", Journal of Institute of Control, Robotics and Systems, Vol. 16, No. 5, pp. 469-475, 2010, 6. https://doi.org/10.5302/J.ICROS.2010.16.5.469
  3. 김승희, 남시병, 임해진, "실시간 영상처리를 위한 향상된 영역 경계 검출," 한국컴퓨터정보학회논문지, Vol. 14, No. 1, pp. 99-106, 2009, 1.
  4. 김수겸, 박중순, 최정희, "에지의 구조적 영역정보를 이용한 에지검출," 한국마린엔지니어링학회지, Vol. 24, No. 2, pp. 232-239, 2000, 3.
  5. D. H. Vallard and C. M. Brown, Computer Vision, Prentice-Hall, 1982.
  6. S. Sarker and K. L. Boyer, "On Optimal Infinite Inpulse Response Edge Detection Filters", IEEE Trans. on PAMI, Vol. 13, No. 11, pp. 699-714, 1986, 11.
  7. K. S. Fu and J. Mui, "A Survey on Image Segmentation", Pattern Recognition, Vol. 13, No. 1, pp. 3-16, 1981, 1. https://doi.org/10.1016/0031-3203(81)90028-5
  8. H. L. Tan and S. B. Gelfand, "Minimization Approach to Edge Detection Using Simulated Annealing", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 14, No. 1, 1991, 1.
  9. B. Z. J. Flusser, "Image Registration Methods: Aa Survey", Image and Vision Computing, Vol. 21, No. 11, pp. 977-1000, 2003, 6. https://doi.org/10.1016/S0262-8856(03)00137-9
  10. Z. Li, Y. Yang, and W. Jiang, "Multi-scale Morphologic Tracking Approach for Edge Detection", IEEE 4th Inter. Conf. on Image and Graphics, pp.358-362, 2007, 8.
  11. S. S. Wilson, "Vector Morphology and Iconic Neural Networks", IEEE Trans. on System, Man, and Cybernetics, Vol. 19, No. 6, pp. 456-470, 1989, 11.
  12. J. Canny, "A Computational Approach to Edge Detection", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 8, No. 6, pp. 679-698, 1986, 6.
  13. C. C. Kang and W. J. Wang, "A Novel Edge Detection Method Based on the Maximizing Objective Function," Pattern Recognition, Vol. 40, No. 2, pp. 609-618. 2007, 2. https://doi.org/10.1016/j.patcog.2006.03.016
  14. D. Sherman and S. Peleg, "Stereo by Incremental Matching of Contours", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 12, No. 11, 1990, 11.
  15. 김승우 외, "광간섭에 의한 극초정밀 삼차원 측정기술", [KOSEF] 특정연구개발사업/원자력연구개발사업 학술기사, 한국과학기술원, pp.87, 1999.