%0 Journal Article
%T Region Segmentation Based on Texture Analysis in MRI Data<br>基于纹理分析的磁共振图象区域分割
%A Luo Limin
%A Bao Xudong
%A Tian Xueqin
%A <br>罗立民
%A 鲍旭东
%A 田雪芹
%J 自动化学报
%D 1995
%I 
%X In this paper, a texture analysis method for medical MRI region segmentation is presented, aimed at discrimination of macro anatomical structure in the cerebral image data. Four second-order statistical texture parameters, computed by using an isotropic gray-value concurrence, and the local fractal dimension compose a feature space, then a two-step classification procedure is applied to this space: a K-Means method is firstly used for obtaining binary-decision and follows a probabilistic relaxation for computing the membership probability of each voxel.
%K Image segmentation
%K texture analysis
%K fractal dimension
%K nuclear magnetic resonance image (MRI)<br>图象分割
%K 纹理分析
%K 核磁共振图象
%K 医学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=47B70CCC68D5A98740A01F13EC44EEB5&yid=BBCD5003575B2B5F&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=9B1D77939DDB4B89&eid=37F781FD8E744761&journal_id=0254-4156&journal_name=自动化学报&referenced_num=3&reference_num=1