2014
DOI: 10.1007/s00032-014-0216-8
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Mean Curvature, Threshold Dynamics, and Phase Field Theory on Finite Graphs

Abstract: Abstract. In the continuum, close connections exist between mean curvature flow, the Allen-Cahn (AC) partial differential equation, and the Merriman-Bence-Osher (MBO) threshold dynamics scheme. Graph analogues of these processes have recently seen a rise in popularity as relaxations of NP-complete combinatorial problems, which demands deeper theoretical underpinnings of the graph processes. The aim of this paper is to introduce these graph processes in the light of their continuum counterparts, provide some ba… Show more

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Cited by 72 publications
(69 citation statements)
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References 89 publications
(176 reference statements)
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“…On the other hand, some regularisation techniques and nonlinear operators have been introduced on function evaluated on graph via directional derivative [10] [11] [12] or discrete version of the p-Laplacian [13]. We adopt a different viewpoint, our approach is inspired from the signal processing approach on graphs [14,15,16,17]. Thus, we firstly review graph signal decomposition by upper-level sets, convolution and diffusion on graphs, and then we present a general formulation of flat and non-flat morphology on graphs, a family of nonlinear transformations and its connection to mean curvature motion on graphs [18,17,19].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, some regularisation techniques and nonlinear operators have been introduced on function evaluated on graph via directional derivative [10] [11] [12] or discrete version of the p-Laplacian [13]. We adopt a different viewpoint, our approach is inspired from the signal processing approach on graphs [14,15,16,17]. Thus, we firstly review graph signal decomposition by upper-level sets, convolution and diffusion on graphs, and then we present a general formulation of flat and non-flat morphology on graphs, a family of nonlinear transformations and its connection to mean curvature motion on graphs [18,17,19].…”
Section: Introductionmentioning
confidence: 99%
“…We adopt a different viewpoint, our approach is inspired from the signal processing approach on graphs [14,15,16,17]. Thus, we firstly review graph signal decomposition by upper-level sets, convolution and diffusion on graphs, and then we present a general formulation of flat and non-flat morphology on graphs, a family of nonlinear transformations and its connection to mean curvature motion on graphs [18,17,19]. Finally, the experimental section includes some examples to illustrate the interest of our method.…”
Section: Introductionmentioning
confidence: 99%
“…The diffuse interface models can often be used as a proxy for total variation (TV) minimization since the -limit of the Ginzburg-Landau functional is shown to be the TV semi-norm [20]. The key observation linking the two areas above is that the TV semi-norm, when suitably generalized to weighted graphs, coincides with the graph cut functional for discrete valued functions on graphs [29]. Hence techniques for TV minimization can also be applied to solve the graph cut problem.…”
mentioning
confidence: 99%
“…This suggests that graph curvature and graph mean curvature flow are interesting concepts to consider as well. In [34], the authors introduced both. The graph curvature of a node set S is given by…”
mentioning
confidence: 99%
“…In [34], the authors started studying the very interesting question whether the graph Allen-Cahn equation, graph MBO scheme and graph mean curvature flow are as intimately connected as their continuum counterparts, but establishing such connections is still mostly an open problem.…”
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confidence: 99%