Tuning of conic parameters using Tikhonov regularization and L-Curve simulation

In this article, a method to infer the parameters of a conic given a set of rectangular coordinates that belong to the geometric entity is shown. The methodology consists of solving a Tikhonov regulation problem where the unregulated term introduces the non-linear nature of the conical body and the...

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Main Authors: Andrés Felipe Calvo-Salcedo, Carlos Alberto Henao Baena, Hugo Armando Becerra-Gallego
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2019-07-01
Series:Dyna
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/75996
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author Andrés Felipe Calvo-Salcedo
Carlos Alberto Henao Baena
Hugo Armando Becerra-Gallego
author_facet Andrés Felipe Calvo-Salcedo
Carlos Alberto Henao Baena
Hugo Armando Becerra-Gallego
author_sort Andrés Felipe Calvo-Salcedo
collection DOAJ
description In this article, a method to infer the parameters of a conic given a set of rectangular coordinates that belong to the geometric entity is shown. The methodology consists of solving a Tikhonov regulation problem where the unregulated term introduces the non-linear nature of the conical body and the regulated the restriction associated to the discriminant of the quadratic equation, then the solution is computed minimizing the resulting cost function where the Regularization parameter is tuned using the L-Curve technique. The model was validated with synthetic and real data from digital images, as well as subject to comparison against other state of the art alternatives. The results show that the method is robust against atypical values and the phenomenon of occlusion present in the data.
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spelling doaj.art-103c7730dd054ce885d0916ab74075ea2022-12-21T22:01:58ZengUniversidad Nacional de ColombiaDyna0012-73532346-21832019-07-018621019420310.15446/dyna.v86n210.7599651693Tuning of conic parameters using Tikhonov regularization and L-Curve simulationAndrés Felipe Calvo-Salcedo0Carlos Alberto Henao Baena1Hugo Armando Becerra-Gallego2Universidad Tecnológica de PereiraTecnoparque Nodo PereiraUniversidad Tecnológica de PereiraIn this article, a method to infer the parameters of a conic given a set of rectangular coordinates that belong to the geometric entity is shown. The methodology consists of solving a Tikhonov regulation problem where the unregulated term introduces the non-linear nature of the conical body and the regulated the restriction associated to the discriminant of the quadratic equation, then the solution is computed minimizing the resulting cost function where the Regularization parameter is tuned using the L-Curve technique. The model was validated with synthetic and real data from digital images, as well as subject to comparison against other state of the art alternatives. The results show that the method is robust against atypical values and the phenomenon of occlusion present in the data.https://revistas.unal.edu.co/index.php/dyna/article/view/75996segmentationoptimizationparameter estimation
spellingShingle Andrés Felipe Calvo-Salcedo
Carlos Alberto Henao Baena
Hugo Armando Becerra-Gallego
Tuning of conic parameters using Tikhonov regularization and L-Curve simulation
Dyna
segmentation
optimization
parameter estimation
title Tuning of conic parameters using Tikhonov regularization and L-Curve simulation
title_full Tuning of conic parameters using Tikhonov regularization and L-Curve simulation
title_fullStr Tuning of conic parameters using Tikhonov regularization and L-Curve simulation
title_full_unstemmed Tuning of conic parameters using Tikhonov regularization and L-Curve simulation
title_short Tuning of conic parameters using Tikhonov regularization and L-Curve simulation
title_sort tuning of conic parameters using tikhonov regularization and l curve simulation
topic segmentation
optimization
parameter estimation
url https://revistas.unal.edu.co/index.php/dyna/article/view/75996
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AT hugoarmandobecerragallego tuningofconicparametersusingtikhonovregularizationandlcurvesimulation