针对C-V方法对非二值图像分割不理想,运行效率不高的问题,提出一种改进的C-V方法.在C-V方法只运用图像灰度信息的基础上,加入基于图像局部方差的信息,并且设置加权参数k,通过k来控制基于图像的灰度信息和方差信息的驱动力在整个图像分割驱动力中的比重,使得改进C-V方法能利用图像区域灰度信息和区域方差信息对非二值图像进行分割,同时应用隐式方案的数值实现方式对改进方法进行数值实现.图像分割实验结果表明,该方法能够更为准确地提取非二值图像边界,减少迭代次数.
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