采用基于动态方向梯度矢量流(GVF)分割边界不清晰、灰度分布不均图像时,GVF外力场中通过拉普拉斯算子的扩散作用,利用4邻域进行掩膜运算;但未充分利用图像信息形成光滑的矢量场,同时迭代次数较高.提出一种基于扩展邻域的动态方向GVF计算方法.新方法从掩膜的角度分析了梯度矢量流模型,通过采用更大的邻域的掩膜来代替原来的基于4邻域的掩膜,得到了基于扩展邻域的梯度矢量流的计算方法.新的计算方法仅仅需要较少的迭代次数就能得到较好的效果.%Gradient vector flow(GVF) is an effective external force for active contours which has a large capture range, when it is used in segmentation of image, especially focuses on boundary is not clear, gray uneven distribution of images. The diffusion of GVF is based on the Laplacian operator which is only based on 4 neighbors. Gradient vector flow based on extended neighbors is proposed by using a large mask to replace the original one which is only based on 4 neighbors. The new method would get a better result and only needs less iteration.
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