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电子学报  2013 

局部熵驱动的GAC模型在生物医学图像分割中的应用

DOI: 10.3969/j.issn.0372-2112.2013.12.026, PP. 2487-2492

Keywords: 测地线活动轮廓模型,局部熵,符号压力函数,二值水平集方法

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Abstract:

针对测地线活动轮廓(GAC)模型不能对包含噪声和灰度不均匀现象这类复杂背景图像成功提取目标的问题,本文提出局部熵驱动的GAC模型.首先提取图像的局部信息熵来刻画图像的灰度变化,再利用局部熵构造符号压力函数来指导轮廓曲线向目标边界靠近,实现目标的分割.为降低计算复杂度并提高模型对水平集变化的鲁棒性,采用二值水平集方法进行求解.实验结果表明,本文方法可以克服噪声和灰度不均匀对图像分割的影响,实现快速准确的分割.

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