%0 Journal Article
%T Several Methods for Ribs Segmentation in Digital Chest Radiographs<br>CR数字胸片图像的几种肋骨分割方法
%A XU Zhao-hui
%A ZHANG Ji-wu
%A ZHANG Dao-bing
%A <br>许朝晖
%A 张继武
%A 张道兵
%J 中国图象图形学报
%D 2004
%I 
%X In medical domain, the Computed radiography image system comes into a brand-new development. Image segmentation takes an important place in medical image processing. Different segmentation methods used in medical images cause different effects due to the particularities of medical images. With digital chest radiographs as research objects in this paper, several segmentation methods are presented to detect the ribs in digital chest radiographs, which include iterative probabilistic relaxation, K-means clustering and Gaussian curve plane threshold methods, etc. The evaluations of their results are given in the end of the paper. The experimental results indicate that Gaussian curve plane threshold method is more effective than the others to detect the ribs in digital chest radiographs. By using it, subsequent processing can be simplified and full information of the ribs can be obtained, so more reliable experiment data can be supplied to subsequent computer aided diagnosis.
%K digital chest radiographs
%K image segmentation
%K Gaussian function
%K K-means clustering
%K probabilistic relaxation<br>胸片
%K 肋骨
%K CR
%K 计算机X线摄影
%K 计算机辅助诊断
%K 医学图像处理
%K 医学领域
%K 分割方法
%K K-均值聚类
%K 阈值法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=347C46A9D9A7B4CD&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=F3090AE9B60B7ED1&sid=1C7C31A28F5ECC6F&eid=3559FBE006544B4B&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=4&reference_num=8