首页> 外文会议>IEEE International Conference on Image Processing;ICIP 2012 >External forces for active contours via multi-scale vector field convolution
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External forces for active contours via multi-scale vector field convolution

机译:通过多尺度矢量场卷积获得活动轮廓的外力

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In this paper we present a new method to generate the external force field for the active contour. The new approach, multi-scale vector field convolution (MVFC), is based on the vector field convolution (VFC) method, and extends VFC to a multi-scale process. Via automatic scale selection, the proposed method constructs the external force field used by the active contour by varying the convolution kernel width according to local image structure. The result is an adaptive force generation method that accommodates detailed, high curvature features with a large capture range, and demonstrates improved performance in terms of local convergence and multi-target segmentation over traditional VFC. Meanwhile, the new method preserves the low computation complexity as supported by VFC and exemplifies as a more efficient force generation method than gradient vector flow (GVF). Synthetic and real experiments demonstrate the efficacy of MVFC in terms of detail preservation, capture range, noise resilience and computational cost.
机译:在本文中,我们提出了一种生成活动轮廓的外力场的新方法。新方法多尺度矢量场卷积(MVFC)基于矢量场卷积(VFC)方法,并将VFC扩展到多尺度过程。通过自动比例选择,该方法通过根据局部图像结构改变卷积核宽度,构造了活动轮廓所使用的外力场。结果是一种自适应力生成方法,该方法可适应具有较大捕获范围的详细的高曲率特征,并在局部收敛和多目标分割方面表现出优于传统VFC的性能。同时,该新方法保留了VFC支持的低计算复杂性,并且比梯度矢量流(GVF)更为有效。合成和真实实验证明了MVFC在细节保存,捕获范围,抗噪能力和计算成本方面的功效。

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