实时活动轮廓

ACM SE '10 Pub Date : 2010-04-15 DOI:10.1145/1900008.1900073
Cheng Jin
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引用次数: 2

摘要

活动轮廓是一种应用广泛的分割技术。经典的发展往往涉及很大的算法复杂度,不方便局部极小和低收敛到边界凹。本文描述了一种基于粗到细正规邻域策略(CoFiN2)的方法,该方法具有较低的计算成本,对局部极小值具有鲁棒性,并鼓励收敛到边界凹。将该方法与经典方法进行了比较,并在磁共振成像(MRI)中进行了实时应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On real time active contours
Active contours represent a widely used segmentation technique. Classical developments often involve great algorithmic complexity, inconveniences with local minima and low convergence to boundary concavities. This paper describes an approach based on a Coarse-to-Fine Normal Neighborhoods strategy (CoFiN2) which leads to lower computational costs, being robust to local minima, and encourages convergence to boundary concavities. This approach is compared with classical methods and is applied on Magnetic Resonance Imaging (MRI) in a real time application.
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