%0 Journal Article %T Automatic medical image segmentation based on gradient vector flow
基于梯度向量流的医学图像自动分割 %A HE Yuan %A LUO Yu-pin %A HU Dong-cheng %A
何源 %A 罗予频 %A 胡东成 %J 计算机应用 %D 2007 %I %X Image segmentation is an important issue in medical imaging.In this paper,a fully automatic algorithm based on Gradient Vector Flow(GVF) was proposed.Firstly a scalar field was constructed from the GVF field.The scalar field can greatly simplify the selection of seeds and region growing process.Then a Region Adjacency Graph(RAG) based region merging algorithm was applied to get the final result from the initial segmentation.Several experimental results demonstrate that this method is efficient in multiple objects segmentation of medical images. %K medical image processing %K image segmentation %K GVF(Gradient Vector Flow) %K RAG(Region Adjacency Graph)
医学图像处理 %K 图像分割 %K 梯度向量流 %K 区域邻接图 %K 梯度向量流 %K 医学图像 %K 图像自动分割 %K gradient %K vector %K flow %K based %K medical %K image %K segmentation %K 问题 %K 目标区域 %K 试验 %K 结果 %K 相似 %K 域邻接图 %K 使用 %K 初始分割 %K 增长 %K 选取 %K 种子点 %K 简化 %K 标量场 %K 转化 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=7EB4F89C56892AD657D21AE4843BD654&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=EB552E4CFC85690B&eid=70AC2EF7F2065E09&journal_id=1001-9081&journal_name=计算机应用&referenced_num=2&reference_num=7