2012
DOI: 10.1155/2012/918510
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Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging

Abstract: After a brief survey on the parametric deformable models, we develop an iterative method based on the finite difference schemes in order to obtain energy-minimizing snakes. We estimate the approximation error, the residue, and the truncature error related to the corresponding algorithm, then we discuss its convergence, consistency, and stability. Some aspects regarding the prosthetic sugical methods that implement the above numerical methods are also pointed out.

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Cited by 4 publications
(3 citation statements)
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References 19 publications
(21 reference statements)
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“…The energy functional E(v) is defined by adding the internal, the external and the inflation (balloon) energy, [2], [6], [7] namely…”
Section: Energy Minimizing 2d Deformable Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…The energy functional E(v) is defined by adding the internal, the external and the inflation (balloon) energy, [2], [6], [7] namely…”
Section: Energy Minimizing 2d Deformable Modelsmentioning
confidence: 99%
“…More exactly, we will apply the method of finite differences in order to generate algorithms for solving the Euler-Lagrange -Poisson Equation (ELP) of Calculus of Variations, which provides the energy-minimizing snake, and we will examine the performances of these algorithms. Regarding the numerical methods applied in medical image analysis and their performances, we cite the papers [2], [3], [5], [6], [7] and [15].…”
Section: Introductionmentioning
confidence: 99%
“…A solution of this static problem is found when the solution v ( t , r , s ) uniformly converges as t tends to infinity [ 13 , 14 ].…”
Section: The Assessment Of the Quality Of Dental Prosthesis By Metmentioning
confidence: 99%