关键词: 图像分割, 活动轮廓模型, 边缘停止函数, 分数阶微分

Abstract: For edge-based active contour models, the choice of edge stopping function is very important. The edge stopping function is typically defined by the image gradient which only depends on local properties of each point. Edge-based active contour models using this edge stopping function have the drawbacks of sensitivity to noise and edge leakage. This paper presents a new edge stopping function, which is based on fractional differential. Experiments show that edge-based active contour models using this edge stopping function can obtain the good segmentation results for images with noise and/or weak edges.

Key words: image segmentation, active contour model, edge stopping function, fractional differential