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基于多尺度梯度矢量场GAC模型的MR医学图像分割

DOI: 10.11834/jig.20070723

Keywords: 医学图像分割,核磁共振图像,多尺度梯度矢量场,测地线活动轮廓模型

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Abstract:

医学图像分割是图像分割技术的一个重要应用领域,GAC(测地线活动轮廓)模型是基于PDE(偏微分方程)方法中一种常用的图像分割模型,使用这种模型时,如何选择合适的平滑尺度是影响分割效果的重要因素之一。提出了一种基于多尺度梯度矢量场GAC模型图像对象轮廓提取的MR图像分割方法,用多尺度梯度矢量取代GAC模型中单一尺度下平滑图像的梯度矢量,提高了GAC模型的收敛速度,有效地改善了局部极小值问题。实验结果验证了该方法的有效性。

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