Volume 28 Issue 12
Nov.  2016
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Article Navigation >  High Power Laser and Particle Beams  > 2016  >  28(12): 124001
Jia Wei, Chen Zhiqiang, Guo Fan, et al. Drivers of small and medium scale electromagnetic pulse simulator based on Marx generator[J]. High Power Laser and Particle Beams, 2018, 30: 073203. doi: 10.11884/HPLPB201830.170401
Citation: Wei Caihua, Zhang Xiaolin, Liu Jun, et al. Image segmentation algorithm based on Markov random field(MRF) for radiography[J]. High Power Laser and Particle Beams, 2016, 28: 124001. doi: 10.11884/HPLPB201628.160148
shu

Image segmentation algorithm based on Markov random field(MRF) for radiography

doi: 10.11884/HPLPB201628.160148
  • 1.

    Institute of Fluid Physics,CAEP,P.O.Box 919-105,Mianyang 621900,China

  • Received Date: 2016-05-27
  • Rev Recd Date: 2016-06-28
  • Publish Date: 2016-12-15
    Abstract
  • Boundary of different materials is one of the focus in flash X-ray radiography, low signal-to-noise ratio and microcosmic structure block the exact distilling of material boundary. In this paper, Markov random field method is researched, Markov model is used to describe the relativity between different pixels, to reduce the number of false target root in noise; through the variance of pixels in template with hollow center the energy cliques function is described, the segment result of microcosmic structure and segment precision of flash X-ray radiography are improved. Simulation shows the modified MRF method in this paper can get better segment result.
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