基于边缘保护扩散的梯度矢量流测地线活动轮廓模型

Gradient Vector Flow Geodesic Active Contour Model Based on Edge Preserving Diffusion

针对梯度矢量流测地线活动轮廓(gradient vector flow geodesic active contour,GVFGAC)模型对弱图像边缘敏感,轮廓演化难以进入目标细长的凹部,容易陷入局部极小值的问题,提出了一个基于边缘保护扩散的梯度矢量流测地线活动轮廓模型.在新模型中,采用各向异性扩散方式构建一个新的梯度矢量流场,使活动轮廓能够有效地克服弱边缘的干扰,收敛到期望的边缘位置.实验结果表明,与GVFGAC模型相比,新模型能够获得较好的分割结果,综合性能优于GVFGAC模型.

The gradient vector flow geodesic active contour （GVFGAC） model has several shortcomings. That is, it is sensitive to weak edges of an image, and it has poor convergence to the thin-long boundary concavities, as well as it is easy to fall into the local minimum. In order to avoid these shortcomings of the traditional GVFGAC model, a novel gradient vector flow active contour model was developed based on anisotropic diffusion. In the proposed model, a new gradient vector flow was constructed by anisotropic diffusion, which made the active contour be nonsensitive to weak edges, and converge to the desirable positions. Experimental results demonstrated that the proposed model had better segmentation performance than that of the GVFGAC model.