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基于局部熵的主动轮廓模型

DOI: 10.11834/jig.20130110

Keywords: C-V模型,图像分割,灰度不均匀,,水平集,梯度下降流

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Abstract:

针对传统C-V模型对灰度分布不均匀图像分割效果不理想的问题,研究了一种基于局部熵的主动轮廓模型。首先,算法将局部熵的概念引入到C-V模型中,通过核函数获得局部区域的不均匀信息,来构建局部熵能量函数;其次,采用变分水平集的方法,最小化局部熵能量泛函,得到水平集的梯度下降流,根据梯度下降流不断更新水平集,获得目标轮廓图;最后,对4组灰度严重不均匀的图像进行仿真实验,并将本文算法与LBF方法和LGDF方法进行对比。实验结果表明,与LBF方法和LGDF方法相比,本文算法实现了灰度不均匀的图像的精确分割。

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