结合自适应变化停止函数的边缘活动轮廓模型

摘要

The edge stopping function is influence the results in edge-based active contour models. It is a strictly monotonical-ly decreasing positive function only about the gradient magnitude of image. The active contour models based on this type of edge stopping function have the drawbacks of high sensitiveness to noise and inaccurately locating the edge of the images with intensity inhomogeneity. This paper proposed a new adaptive varying stopping function to hopefully overcome the two drawbacks above. Experimental results show that an active contour model based on the new edge stopping function can really overcome the above-mentioned drawbacks.%在基于边缘的活动轮廓模型中,边缘停止函数的选择将直接影响模型的分割效果.传统的边缘停止函数仅仅是基于梯度模型建立的一个单调递减的正函数,基于这种边缘停止函数的活动轮廓模型存在两个缺点:一是对噪声比较敏感；二是对灰度不均图像分割不准确.为此,提出一个自适应变化边缘停止函数.实验表明,使用该边缘停止函数构造的边缘活动轮廓模型能够较好地克服上述不足.