DOI QR코드

DOI QR Code

Background Removing for Digital image self-adaptive acquisition in medical X-ray imaging

  • Li, Xun (School of Electrical and Computer Engineering CBITRC, Chungbuk National University) ;
  • Kim, Young-Ju (School of Electrical and Computer Engineering CBITRC, Chungbuk National University) ;
  • Song, Young-Jun (school of Electrical and Computer Engineering CBITRC, Chungbuk National University)
  • Published : 2008.03.31

Abstract

In this paper, we propose a new method of background removing for digital self-adaptive acquisition in medical X-ray imaging. We analysis the construction of video digital acquisition system and main factors of acquired image quality, propose a more efficiency method to against background non-uniformly. With proposed method, non-uniform illumination back ground was well removed without image quality degradation.

Keywords

References

  1. http://en.wikipedia.org/wiki/Picture_archiving_and_communication _system
  2. J.W Gao, B. Yixian, Jie, "Valid region recognition in digital images of medical X-ray imaging", Proceedings of SPIE, Vol. 4224, 2000. pp .139-144 https://doi.org/10.1117/12.403960
  3. J. Bao, J. Gao, X. D. Zhang, "Medical X-ray Digital Image Processing System Based on NSP", the fifth national conference on computer application, Nov. 1999
  4. J. Bao, J. Gao, et al, "Digital image self adaptive acquisition in medical x-ray imaging", World Compute Congress 2000, Beijing, China, Aug. 2000.
  5. C. G.. Rafael and E. W. Richard, Digital Image Processing, second Edition, pp.45-70.
  6. A. Til, S. Ylrich, "Digital image acquisition and processing in medical X-ray imaging", J of Electronic Imaging Vol. 8, 1999, pp. 7-22. https://doi.org/10.1117/1.482680