Fast medical image segmentation method based on level set technique
Wang Cheng-tao · Jisuanji gongcheng yu sheji · 2009
In view of the difficulty in accurately and fast segmentation of high-noise and low-contrast medical image,a hybrid segmen-tation method,which combines traditional pixel-based method with level-set-based active contour model,is proposed.First,region of interest is interactively selected according to the pre-knowledge of object size.Then,pre-segmentation is done undergone the corporate result of traditional method and region-based C-V model.The pre-segmentation result is directly used as the initial contour of the narrow band based variational level set method.The evolving curve converges to object boundaries in a relatively short time.