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基于改进的Contourlet变换和Markov场的医学图像分割算法 被引量:1

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摘要 医学图像分割对影像分析和临床诊断具有十分重要意义,将非下采样Contourlet变换和Markov场相结合,提出了一种改进的医学图像分割算法。首先对图像进行Contourlet变换得到多级方向系数;然后对分解后的Contourlet变换方向进行Markov建模,最后采用最大后验概率准则完成医学图像的分割。实验表明,该算法更好地描述图像的细节信息,分割结果与原始图像具有更好的一致性。
出处 《电子世界》 2016年第15期51-52,共2页 Electronics World
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