A variational framework for integrating segmentation and registration through active contours

被引:96
作者
Yezzi, A
Zöllei, L
Kapur, T
机构
[1] MIT, Artificial Intelligence Lab, Cambridge, MA 02139 USA
[2] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[3] GE Navigat & Visualizat, Lawrence, MA USA
基金
美国国家科学基金会;
关键词
segmentation-registration; variational methods; active contours;
D O I
10.1016/S1361-8415(03)00004-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. The key observation is that multiple images may be segmented by evolving a single contour as well as the mappings of that contour into each image. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:171 / 185
页数:15
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