1 December 2002 Adaptive level set image segmentation using the Mumford and Shah functional
Fei Liu, Yupin Luo, Dongcheng Hu
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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.
©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
Fei Liu, Yupin Luo, and Dongcheng Hu "Adaptive level set image segmentation using the Mumford and Shah functional," Optical Engineering 41(12), (1 December 2002). https://doi.org/10.1117/1.1519542
Published: 1 December 2002
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Cited by 4 scholarly publications.
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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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