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Image Segmentation Based on Modified Fractional Allen-Cahn Equation

Author(s)
Lee, DongsunLee, Seunggyu
Issued Date
2019-01
DOI
10.1155/2019/3980181
URI
https://scholarworks.unist.ac.kr/handle/201301/26342
Fulltext
https://www.hindawi.com/journals/mpe/2019/3980181/
Citation
MATHEMATICAL PROBLEMS IN ENGINEERING, v.2019, pp.3980181
Abstract
We present the image segmentation model using the modified Allen-Cahn equation with a fractional Laplacian. The motion of the interface for the classical Allen-Cahn equation is known as the mean curvature flows, whereas its dynamics is changed to the macroscopic limit of Lévy process by replacing the Laplacian operator with the fractional one. To numerical implementation, we prove the unconditionally unique solvability and energy stability of the numerical scheme for the proposed model. The effect of a fractional Laplacian operator in our own and in the Allen-Cahn equation is checked by numerical simulations. Finally, we give some image segmentation results with different fractional order, including the standard Laplacian operator.
Publisher
Hindawi Limited
ISSN
1024-123X
Keyword (Author)
Fractional laplacian operatorsImage segmentation modelMean curvature flowNumerical implementationSegmentation resultsImage segmentationLaplace equationLaplace transformsMathematical operatorsAllen-Cahn equationFractional Allen-Cahn equationFractional Laplacian

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