| 一种基于Markov随机场模型的核磁共振图像分割方法 |
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| 引用本文： | 高昇.一种基于Markov随机场模型的核磁共振图像分割方法[J].世界科技研究与发展,2010,32(6):729-730,846. |
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| 作者姓名： | 高昇 |
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| 作者单位： | 内蒙古疾病预防控制中心,呼和浩特010031 |
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| 摘 要： | 为了提高核磁共振(MR)图像分割的效果,提出了一种基于Markov随机场模型的分割方法。该方法利用Markov随机场描述图像的先验分布,结合MAP准则获得分割优化函数,通过ICM局部迭代使分割优化函数收敛。迭代过程中引入了后验概率矩阵的平滑;提高了分割的精度和速度。实测数据的实验结果证明了所提方法的有效性。
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| 关 键 词： | 核磁共振 图像 分割 马尔科夫随机场 |
A Segmentation Method for Magnetic Resonance Images Based on Markov Random Field Model |
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| GAO Sheng.A Segmentation Method for Magnetic Resonance Images Based on Markov Random Field Model[J].World Sci-tech R & D,2010,32(6):729-730,846. |
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| Authors: | GAO Sheng |
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| Institution: | GAO Sheng (Inner-Mongolian Center of Disease Control, Huhhot 010031 ) |
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| Abstract: | In order to get a better segmentation of magnetic resonance （MR） images, a segmentation method based Dn markov random field （MRF） model is proposed. The prior distribution is depicted by MRF. The optimization function is gotten according to MAP （ Maximum a posteriori） criterion. The convergence of the optimization function is obtained by ICM （ iterative conditional model） iterative algorithm. With the smoothing of the posterior probability matrix in the iterative process, the accuracy and speed are improved. The effectiveness of the pro- posed algorithm is demonstrated by experiments. |
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| Keywords: | magnetic resonance image segmentation markov random field |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
