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- 2017
基于Markov随机场的Student's t混合模型的脑MR图像分割
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Abstract:
摘要： 为解决在使用期望最大化(EM)算法求解混合模型前需要额外的计算问题,提出一种新的基于Markov随机场的Student's t混合模型,该模型能直接利用简单有效的EM算法求解。试验结果表明,该方法能有效克服噪声对图像分割的影响,获得较好的分割结果。
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
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