Image Segmentation Using Euler's Elastica as the Regularization

被引：63
|
作者：
Zhu, Wei [1 ]
Tai, Xue-Cheng [2 ]
Chan, Tony [3 ]
机构：
[1] Univ Alabama, Dept Math, Tuscaloosa, AL 35487 USA
[2] Univ Bergen, Dept Math, N-5007 Bergen, Norway
[3] Hong Kong Univ Sci & Technol, Off President, Kowlon, Hong Kong, Peoples R China
来源：
JOURNAL OF SCIENTIFIC COMPUTING | 2013年 / 57卷 / 02期
基金：
美国国家科学基金会;
关键词：
Image segmentation; Euler's elastica; Augmented Lagrangian method; AUGMENTED LAGRANGIAN METHOD; ACTIVE CONTOURS; VARIATIONAL APPROACH; MODEL; ALGORITHMS; MUMFORD; CURVATURE; EDGES;
D O I：
10.1007/s10915-013-9710-3
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The active contour segmentation model of Chan and Vese has been widely used and generalized in different contexts in the literature. One possible modification is to employ Euler's elastica as the regularization of active contour. In this paper, we study the new effects of this modification and validate them numerically using the augmented Lagrangian method.
引用
收藏
页码：414 / 438
页数：25
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