%0 Journal Article
%T Medical CT image segmentation based on mathematical morphology and region merging<br>基于数学形态学和区域合并的医学CT图像分割*
%A HUANG Zhan-peng
%A YI Fa-ling
%A ZHOU Su-juan
%A BAO Su-su
%A <br>黄展鹏
%A 易法令
%A 周苏娟
%A 鲍苏苏
%J 计算机应用研究
%D 2010
%I 
%X In order to reduce the over segmentation of the traditional watershed algorithm, the algorithm was modified based on mathematical morphology and region merging. First, obtained gradient image by the multi-scale morphological method. Employed opening operation and closing operation of reconstruction to the gradient image to remove close texture and the extremes caused by noise. Then applied watershed transformation to get the initial segmentation. Furthermore, adopted region merging region to get a significative result, whose criteria was mean value of sub-area. Experimental results show that this method can effectively avoid over-segmentation of watershed algorithm, and better results can be achieved.
%K mathematical morphology
%K watershed algorithm
%K region merging
%K medical image segmentation
%K liver<br>数学形态学
%K 分水岭算法
%K 区域合并
%K 医学图像分割
%K 肝脏
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=45DDD5AF0123559080EA584CDBF3BD7B&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=708DD6B15D2464E8&sid=D45529841330A72F&eid=60A32AB2E0A379EF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=9