一种新颖的活动轮廓模型方法
A Novel Active Contour Model for Image Segmentation
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摘要: 提出了一种新颖的活动轮廓模型。该模型有效地利用了测地线活动轮廓(Geodesic active contour,GAC)模型的光滑性和局部区域型CV(Local Region-based Chan-Vese Model,LRCV)模型的局部区域性。实验结果表明,该模型具有分割精度高、对初始轮廓不敏感等优点.Abstract: A novel active contour method for image segmentation is given out, which utilizes the advantages of the GAC (Geodesic active contour) and the LRCV (Local Region-based Chan-Vese Model) methods. We consider the smoothing force of the GAC method and local region-based force of the LRCV method. Experimental results show that the model can effectively segment the intensity inhomogeneous images while it is robust to the initial contour.
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