%0 Journal Article
%T Flow Direction Scalar Field and Fast Scanning Method Based Image Segmentation<br>基于流向标量场与快速扫掠法的图像分割
%A LI Qi-He
%A LUO Yu-Pin
%A XIAO De-Yun
%A <br>李启翮
%A 罗予频
%A 萧德云
%J 自动化学报
%D 2008
%I 
%X A fast automatic image segmentation method is presented through the combination of gradient vector flow (GVF) field and seeded region growing (SRG).First,a flow di- rection scalar (FDS) field is derived from GVF.Then,a new SRG method called fast scanning method (FSM) is proposed. Finally,region adjacency graph (RAG) based region merging is used to get the final result.This method is very efficient that it is possible to fit real-time applications if a fast GVF computation method is adopted.Experiments demonstrate its effectiveness and robustness.
%K Gradient vector flow (GVF)
%K seeded region growing (SRG)
%K flow direction scalar field
%K fast scanning method (FSM)<br>梯度向量流
%K 种子区域生长
%K 流向标量场
%K 快速扫掠法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=43E534294994D35DCCDE6A9477807A26&yid=67289AFF6305E306&vid=339D79302DF62549&iid=5D311CA918CA9A03&sid=3A834AEE2C42102E&eid=112A5CAF55F27887&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=12