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一种通过活动轮廓整合分割与配准的变分框架。

A variational framework for integrating segmentation and registration through active contours.

作者信息

Yezzi A, Zöllei L, Kapur T

机构信息

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

出版信息

Med Image Anal. 2003 Jun;7(2):171-85. doi: 10.1016/s1361-8415(03)00004-5.

DOI:10.1016/s1361-8415(03)00004-5
PMID:12868620
Abstract

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.

摘要

传统上,分割和配准被视为两个独立的问题,尽管通常一个问题的解决方案会影响另一个问题的解决方案。在本文中,我们引入了一个几何变分框架,该框架使用活动轮廓同时对多个图像的特征进行分割和配准。关键的观察结果是,可以通过演化单个轮廓以及该轮廓在每个图像中的映射来分割多个图像。

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