A Biased Vector Field Convolution External Force for Snakes
A Biased Vector Field Convolution External Force for Snakes
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DOI：
10.1007/s00034-013-9693-1
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发表时间：
2013-10
期刊：
影响因子：
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通讯作者：
Guoqi Liu;Zhiheng Zhou;S. Xie
中科院分区：
文献类型：
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作者：
Guoqi Liu;Zhiheng Zhou;S. Xie
矢量场卷积（VFC）是活动轮廓模型的有效外力。然而，在提取复杂几何形状时，特别是在物体边界外设置初始轮廓时，往往会遇到过早收敛的问题。在这封信中，提出了一种有偏矢量场卷积（BVFC）外力。在BVFC中，引入了一个关于轮廓的指示函数和一个窄带，偏倚地利用凹区域的边缘梯度信息。另一方面，还引入了一种能更好地描述主曲率并同时强调角和边的特征映射。实验结果表明，与现有的几种活动轮廓模型相比，BVFC蛇形模型提高了目标边界提取的性能，并表现出收敛到凹形的能力。
The vector field convolution (VFC) is an effective external force for active contour models. However, it always comes across premature convergence in extracting complex geometries, especially narrow and deep concavity when the initial contour is set outside of the object boundary. In this letter, a biased vector field convolution (BVFC) external force is proposed. In BVFC, an indicator function with respect to the contour and a narrow band are introduced to biasedly utilize the edges gradient information of a concave region. On the other hand, a feature map which better describes the principal curvatures and equally emphasizes both corners and edges is also introduced. Experimental results demonstrate that the BVFC snake improves the performance in extracting object boundary and shows the ability to converge to concavity compared with several state-of-art active contour models.