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	Locating large-scale craniofacial feature pointos on x-ray images for automated cephalometric analysis
	Yue, WN ; Yin, DL ; Li, CJ ; Wang, GP ; Xu, TM
	2005
关键词	ACTIVE SHAPE MODELS LANDMARKS IDENTIFICATION CEPHALOGRAMS SYSTEM
英文摘要	With the objective of tracing out all craniofacial structures in parallel with landmarking on x-ray images in cephalometry for the first time, a novel approach is proposed to locate 262 feature points composed of 90 landmarks and 172 auxiliary points. Twelve landmarks are identified by classical image processing techniques and a pattern matching algorithm, and then are used to divide the craniofacial shape to ten independent regions according to the anatomical knowledge. For each region, principal component analysis is employed to statistically characterize its shape and the gray profile of every feature point in the training, and a modified active shape model is proposed for localization. We conclude with experiment results and some discussion.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000235773301117&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Imaging Science & Photographic Technology; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/293616]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yue, WN,Yin, DL,Li, CJ,et al. Locating large-scale craniofacial feature pointos on x-ray images for automated cephalometric analysis. 2005-01-01.

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