1 December 2002 Adaptive level set image segmentation using the Mumford and Shah functional
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Optical Engineering, 41(12), (2002). doi:10.1117/1.1519542
Abstract
This paper proposes an adaptive 2-phase level set image segmentation algorithm to improve the original level set-based piecewise constant Mumford-Shah model. With the introduction of a multiplicative gain field, the model is adaptive to intensity inhomogeneity, thus tending to obtain the actual boundaries of the objects, as well as a property-seeking and -driven classification algorithm.
Fei Liu, Yupin Luo, Dongcheng Hu, "Adaptive level set image segmentation using the Mumford and Shah functional," Optical Engineering 41(12), (1 December 2002). http://dx.doi.org/10.1117/1.1519542
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KEYWORDS
Image segmentation

Data modeling

Image processing algorithms and systems

Binary data

Magnetic resonance imaging

Image analysis

Image classification

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