基于新的边缘保真项的有偏法向梯度向量流snakes模型
发布时间：2018-08-23 19:58
【摘要】：梯度向量流(GVF)有效解决了主动轮廓(snakes)模型初始化和凹陷区域收敛的问题,但由于其各向同性的扩散特性,使得对弱边缘和角点的捕获能力不足。因此,致力于寻求一种GVF各向异性扩散机制。通过将拉普拉斯算子进行正交分解,分析了GVF模型的法向和切向扩散作用,发现(类似)角点处的GVF场存在明显的曲率收缩和切向退化,进一步揭示了角点和弱边缘丢失的原因。在此基础上,通过对法向GVF(NGVF)模型引入新的边缘保真项和有偏的权重系数,提出一种新的外力模型。最后,通过实验对该方法的分割准确性和计算效率进行了比较分析。实验结果表明,该方法在保持一定计算优势同时,能准确地捕获弱边缘和角点。
[Abstract]:Gradient vector flow (GVF) effectively solves the problem of initializing the active contour (snakes) model and converging the concave region, but because of its isotropic diffusion property, the capture ability of weak edges and corners is insufficient. Therefore, we are looking for a GVF anisotropic diffusion mechanism. By orthogonal decomposition of Laplace operator, the normal and tangential diffusion of the GVF model is analyzed. It is found that the GVF field at the corner point has obvious curvature contraction and tangential degeneration. The causes of the loss of corners and weak edges are further revealed. On this basis, a new external force model is proposed by introducing new marginal fidelity terms and biased weight coefficients to the normal GVF (NGVF) model. Finally, the segmentation accuracy and computational efficiency of the method are compared and analyzed by experiments. The experimental results show that the method can accurately capture the weak edges and corners at the same time.
【作者单位】： 火箭军工程大学一系;
【分类号】：TP391.41
[Abstract]:Gradient vector flow (GVF) effectively solves the problem of initializing the active contour (snakes) model and converging the concave region, but because of its isotropic diffusion property, the capture ability of weak edges and corners is insufficient. Therefore, we are looking for a GVF anisotropic diffusion mechanism. By orthogonal decomposition of Laplace operator, the normal and tangential diffusion of the GVF model is analyzed. It is found that the GVF field at the corner point has obvious curvature contraction and tangential degeneration. The causes of the loss of corners and weak edges are further revealed. On this basis, a new external force model is proposed by introducing new marginal fidelity terms and biased weight coefficients to the normal GVF (NGVF) model. Finally, the segmentation accuracy and computational efficiency of the method are compared and analyzed by experiments. The experimental results show that the method can accurately capture the weak edges and corners at the same time.
【作者单位】： 火箭军工程大学一系;
【分类号】：TP391.41
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