Active shape model segmentation using local edge structures and AdaBoost

	Active shape model segmentation using local edge structures and AdaBoost
	Li, SY; Zhu, LT; Jiang, TZ; Yang, GZ; Jiang, T
刊名	MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS
	2004
卷号	3150 页码:121-128
英文摘要	The paper describes a machine learning approach for improving active shape model segmentation, which can achieve high detection rates. Rather than represent the image structure using intensity gradients, we extract local edge features for each landmark using steerable filters. A machine learning algorithm based on AdaBoost selects a small number of critical features from a large set and yields extremely efficient classifiers. These non-linear classifiers are used, instead of the linear Mahalanobis distance, to find optimal displacements by searching along the direction perpendicular to each landmark. These features give more accurate and reliable matching between model and new images than modeling image intensity alone. Experimental results demonstrated the ability of this improved method to accurately locate edge features.
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
类目[WOS]	Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods ; Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]	Computer Science ; Radiology, Nuclear Medicine & Medical Imaging
收录类别	ISTP ; SCI
语种	英语
WOS记录号	WOS:000223567700015
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/7988]
专题	自动化研究所_脑网络组研究中心
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, SY,Zhu, LT,Jiang, TZ,et al. Active shape model segmentation using local edge structures and AdaBoost[J]. MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS,2004,3150:121-128.
APA	Li, SY,Zhu, LT,Jiang, TZ,Yang, GZ,&Jiang, T.(2004).Active shape model segmentation using local edge structures and AdaBoost.MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS,3150,121-128.
MLA	Li, SY,et al."Active shape model segmentation using local edge structures and AdaBoost".MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS 3150(2004):121-128.