JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (3): 49-55.doi: 10.6040/j.issn.1672-3961.0.2016.310

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Brain MR image segmentation based on student's t mixture model with Markov random field

LI Lu, FAN Wentao, DU Jixiang*   

  1. College of Computer Science, Huaqiao University, Xiamen 361021, Fujian, China
  • Received:2016-07-22 Online:2017-06-20 Published:2016-07-22

Abstract: Extra computation was always needed when using Expectation Maximization(EM)algorithm for solving mixture models. To overcome this drawback, a novel Student's t-mixture model based on Markov random field was proposed. EM algorithm was used directly in the proposed model, which was convenient and efficient. According to the experimental results, the proposed method could overcome the impact of noise on the segmentation results efficiently, and got better segmentation results.

Key words: brain MR image segmentation, Markov random field, expectation maximization algorithm, student's t-mixture model

CLC Number: 

  • TP391
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