Image Segmentation Using Euler’s Elastica as the Regularization
Autor: | Tony F. Chan, Xue-Cheng Tai, Wei Zhu |
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Rok vydání: | 2013 |
Předmět: |
Numerical Analysis
Active contour model Augmented Lagrangian method Applied Mathematics General Engineering Image segmentation Topology Regularization (mathematics) Theoretical Computer Science Computational Mathematics symbols.namesake Computational Theory and Mathematics Computer Science::Computer Vision and Pattern Recognition Euler's formula symbols Segmentation Algorithm Software Mathematics |
Zdroj: | Journal of Scientific Computing. 57:414-438 |
ISSN: | 1573-7691 0885-7474 |
DOI: | 10.1007/s10915-013-9710-3 |
Popis: | 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. |
Databáze: | OpenAIRE |
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