Semi-automatical MRI segmentation based on nonlinear diffusion filtering using level set model
Xia De-shen · Jisuanji gongcheng yu sheji · 2006
It need to construct an initial curve artificially in the region of interesting,when using image segmentation models based on curve evolution.If the initial curve lies far away form the edges,it takes the model more time segmenting.If want to make the curve lies beside the edges,it needs more artificial operations,so the time efficiency is low and make mistakes easily.To deal with this disability,a fast method to construct the initial curve is presented based on the nonlinear diffusion filtering.After nonlinear diffusion fil-tering applying AOS scheme for image,this method get the initial curve quickly and the curve is very near the edge of the objects.Level set model improved by constructing velocity function using regional information is employed to evolve the curve,and the better results are obtained.The experiments of MRI segmentation show the validity of this method.