关键词: 图像分割, 活动轮廓模型, 边缘停止函数, 高斯滤波

Abstract: The edge stopping function is very important in edge-based active contour models.It is typically the composition of a strictly monotonically decreasing positive function and the gradient magnitude of Gaussian smoothed image.The active contour models based on this type of edge stopping function have the drawbacks of long evolving time and need for Gaussian filter.Although Gaussian filter smoothes noise，it may also smooth edges；it is possible for the active contour models to inaccurately locate the edges.A new edge stopping function without Gaussian smoothing is proposed to overcome the two drawbacks above.Experimental results show that an active contour model based on the new edge stopping function is about 50% faster than the original model.

Key words: image segmentation, active contour model, edge stopping function, Gaussian filter