Active shape model segmentation using local edge structures and AdaBoost | |
Li, SY; Zhu, LT; Jiang, TZ![]() ![]() | |
刊名 | MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS
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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. |
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