基于GVF-Snake的肝脏区域分割方法

2008 Chinese Conference on Pattern Recognition Pub Date : 2008-10-31 DOI:10.1109/CCPR.2008.79

Linlin Huang, Tianyi Gui

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引用次数: 0

摘要

本文提出了一种基于GVF-Snake的CT图像肝脏区域分割方法。首先，采用直方图均衡化和各向异性扩散滤波方法对CT图像进行增强;然后，采用基于区域的方法对粗糙分割进行补充。最后，采用改进的广义梯度向量流蛇模型(GVF-Snake)对粗糙分割进行细化。实验结果表明，该方法可以精确地提取肝脏区域。

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GVF-Snake Based Method for Liver Region Segmentation

In this paper, we present a GVF-Snake based method for liver region segmentation on CT images. Firstly, the CT images are enhanced using a method of histogram equalization and anisotropic diffusion filter. Then, a region based method is applied to complement rough segmentation. Finally, an improved generalized gradient vector flow snake model (GVF-Snake) is adopted for the refinement of the rough segmentation. Experiment results show that the proposed method can precisely extract the liver region.

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2008 Chinese Conference on Pattern Recognition

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