%0 Journal Article
%T A MRF Model-based Approach to Natural Image Matting<br>基于MRF的复杂图像抠图
%A LIN Sheng-you
%A YE Fu-jun
%A <br>林生佑
%A 叶福军
%J 中国图象图形学报
%D 2008
%I 
%X Natural image matting is an important algorithm on image processing to extract the foreground objects from the background image.This paper proposes a Markov random field(MRF) model-based approach to natural image matting with complex scenes.The image is manually,divided into three regions:fore-region,back-region and unknown region,which is segmented into several sub-regions.In each sub-region,we partition the colors of neighboring background or foreground pixels into several clusters in RGB color space and assign matting label to each unknown pixel.Each label is modeled as an MRF and the matting problem is then formulated as a maximum a posteriori(MAP) estimation problem.Simulated annealing is used to find the optimal MAP estimation.The better results can be obtained under the same user-interactions when the image is complex.Results of natural image matting experiments performed on complex images using this approach are shown and compared in this paper.
%K blue screen matting
%K natural image matting
%K Markov random field
%K simulated annealing<br>蓝屏抠图
%K 自然图像抠图
%K 马尔可夫随机场
%K 模拟退火
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=0F02C3C29004B366E244E2DC2739CA14&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=A03A15CF5604A8B0&eid=42D7028D961473F8&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=16