基于Snake模型提取病灶轮廓

Snake模型是广泛应用于数字图像处理的一种目标轮廓跟踪算法,但在实际使用过程中,现有模型易受噪声及虚假边缘的影响,且对凹陷轮廓的跟踪能力较差。在梯度矢量流模型的基础上,提出广义梯度矢量流模型。该模型不仅能搜索凹陷轮廓,而且也能捕获长管形边界。实验表明该模型有较好的鲁棒性和实用性,适用于噪声干扰情况下提取具有凹凸特征的目标轮廓。

Based Snake-model Extract Focus Boundary

Snake model is a widely used algorithm to track object contours in the field of digital image processing. But in the practice of application, the present models often subject to-the influence of noises and fake edges, and their abilities of searching concave contiur are not good. Based on the concept of gradient vector flow(GVF), Generalized Gradient Vector Flow(GGVF)is introduced prove that the new model is robust and practicable, and it is suited for searching concave convex contours against contaminated background.