Image segmentation based on Mumford-Shah functional

Image segmentation based on Mumford-Shah functional

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 Ve...

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Veröffentlicht in:Journal of Zhejiang University. Science 2004, Vol.5 (1), p.123-128
1. Verfasser: 陈旭锋 管志成
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial Intelligence
Computer Graphics
Computer Simulation
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Information Storage and Retrieval - methods
Mumford-Shah泛函
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Subtraction Technique
图像分割
积分方程
粘性解
计算机视觉
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Beschreibung
Zusammenfassung: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.
ISSN:1009-3095
DOI:10.1631/jzus.2004.0123