%0 Journal Article
%T Texture Analysis on Two-photon Excited Microscopic Images of Human Skin Hypertrophic Scar Tissue<br>皮肤增生性疤痕组织的双光子显微图像纹理分析
%A XIE Zhi-ming
%A CHEN Guan-nan
%A CHEN Jian-xin
%A YANG Kun-tao
%A CHEN Rong
%A <br>谢志明 陈冠楠
%A 陈建新 杨坤涛 陈荣
%J 中国图象图形学报
%D 2009
%I 
%X According to the pathological characteristics of skin hypertrophic scar tissue, texture features on the edge direction, density distribution and geometric morphology are extracted from two-photon excited microscopic images of scar tissue and used to distinguish the normal tissue from scar tissue. Algorithms of mean-shift are applied to analyze the extracted texture features. Finally, a compositive formula is presented for quantitatively analyzing images. 118 two-photon excited microscopic images originated from human hypertrophic scar tissue are statistically analyzed based on this formula and the inaccuracy rate is 5.1%. These results indicate that texture features and analytic methods proposed in this paper are effective on distinguishing the normal tissue from scar tissue and accurately fixing on their border.
%K hypertrophic scar
%K two-photon excited microscopic image
%K collagen fiber
%K elastic fiber
%K texture analysis<br>增生性疤痕
%K 双光子显微图像
%K 胶原纤维
%K 弹力纤维
%K 纹理分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=FA6EA20954EB67DE865AF4136F4A7354&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=9CF7A0430CBB2DFD&sid=1A1522797E8D4D41&eid=EC06C22A73BC2956&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=7