Finite difference schemes for MCM and AMSS

M. Mondelli, A. Ciomaga, Image Processing On Line 1 (2011) 127–177.

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Journal Article | Published | English
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Abstract
This article refers to algorithms based on finite difference schemes for computing mean and affine curvature evolutions of digital images, introduced by Alvarez and Morel [L. Alvarez, J.M. Morel, “Formalization and computational aspects of image analysis”, Acta Numerica, pp. 159, 1994]. We discuss consistency, stability and convergence. Our analysis focuses on some possible choices of the parameters, choices that generate multiple variants in the implementations. Meaningful visual examples on how the algorithms actually work are provided.
Publishing Year
Date Published
2011-09-13
Journal Title
Image Processing On Line
Volume
1
Page
127-177
ISSN
IST-REx-ID

Cite this

Mondelli M, Ciomaga A. Finite difference schemes for MCM and AMSS. Image Processing On Line. 2011;1:127-177. doi:10.5201/ipol.2011.cm_fds
Mondelli, M., & Ciomaga, A. (2011). Finite difference schemes for MCM and AMSS. Image Processing On Line, 1, 127–177. https://doi.org/10.5201/ipol.2011.cm_fds
Mondelli, Marco, and Adina Ciomaga. “Finite Difference Schemes for MCM and AMSS.” Image Processing On Line 1 (2011): 127–77. https://doi.org/10.5201/ipol.2011.cm_fds.
M. Mondelli and A. Ciomaga, “Finite difference schemes for MCM and AMSS,” Image Processing On Line, vol. 1, pp. 127–177, 2011.
Mondelli M, Ciomaga A. 2011. Finite difference schemes for MCM and AMSS. Image Processing On Line. 1, 127–177.
Mondelli, Marco, and Adina Ciomaga. “Finite Difference Schemes for MCM and AMSS.” Image Processing On Line, vol. 1, IPOL Image Processing On Line, 2011, pp. 127–77, doi:10.5201/ipol.2011.cm_fds.
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