CLC number: O175.3,TN911.73
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 4
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CHEN Xu-feng, GUAN Zhi-cheng. Image segmentation based on Mumford-Shah functional[J]. Journal of Zhejiang University Science A, 2004, 5(1): 123-128.
@article{title="Image segmentation based on Mumford-Shah functional",
author="CHEN Xu-feng, GUAN Zhi-cheng",
journal="Journal of Zhejiang University Science A",
volume="5",
number="1",
pages="123-128",
year="2004",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2004.0123"
}
%0 Journal Article
%T Image segmentation based on Mumford-Shah functional
%A CHEN Xu-feng
%A GUAN Zhi-cheng
%J Journal of Zhejiang University SCIENCE A
%V 5
%N 1
%P 123-128
%@ 1869-1951
%D 2004
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2004.0123
TY - JOUR
T1 - Image segmentation based on Mumford-Shah functional
A1 - CHEN Xu-feng
A1 - GUAN Zhi-cheng
J0 - Journal of Zhejiang University Science A
VL - 5
IS - 1
SP - 123
EP - 128
%@ 1869-1951
Y1 - 2004
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2004.0123
Abstract: In this paper, the authors propose a new model for active contours segmentation in a given image, based on mumford-Shah functional (Mumford and Shah, 1989). The model is composed of a system of differential and integral equations. By the experimental results we can keep the advantages of Chan and Vese's model (Chan and Vese, 2001) and avoid the regularization for Dirac function. More importantly, in theory we prove that the system has a unique viscosity solution.
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