Ensemble ellipse fitting by spatial median consensus
dc.contributor.author | Thurnhofer-Hemsi, Karl | |
dc.contributor.author | Lopez-Rubio, Ezequiel | |
dc.contributor.author | Blazquez-Parra, Elidia Beatriz | |
dc.contributor.author | Ladron-de-Guevara-Munoz, M. Carmen | |
dc.contributor.author | de-Cozar-Macias, Oscar David | |
dc.contributor.authoraffiliation | [Thurnhofer-Hemsi, Karl] Univ Malaga, Dept Comp Languages & Comp Sci, Bulevar Louis Pasteur 35, Malaga 29071, Spain | |
dc.contributor.authoraffiliation | [Lopez-Rubio, Ezequiel] Univ Malaga, Dept Comp Languages & Comp Sci, Bulevar Louis Pasteur 35, Malaga 29071, Spain | |
dc.contributor.authoraffiliation | [Thurnhofer-Hemsi, Karl] Biomed Res Inst Malaga IBIMA, C Doctor Miguel Diaz Recio 28, Malaga 29010, Spain | |
dc.contributor.authoraffiliation | [Lopez-Rubio, Ezequiel] Biomed Res Inst Malaga IBIMA, C Doctor Miguel Diaz Recio 28, Malaga 29010, Spain | |
dc.contributor.authoraffiliation | [Blazquez-Parra, Elidia Beatriz] Univ Malaga, Dept Graph Engn Design & Projects, C Doctor Ortiz Ramos, Malaga 29071, Spain | |
dc.contributor.authoraffiliation | [Ladron-de-Guevara-Munoz, M. Carmen] Univ Malaga, Dept Graph Engn Design & Projects, C Doctor Ortiz Ramos, Malaga 29071, Spain | |
dc.contributor.authoraffiliation | [de-Cozar-Macias, Oscar David] Univ Malaga, Dept Graph Engn Design & Projects, C Doctor Ortiz Ramos, Malaga 29071, Spain | |
dc.contributor.funder | Ministry of Science, Innovation and Universities of Spain | |
dc.contributor.funder | Autonomous Government of Andalusia (Spain) | |
dc.contributor.funder | European Regional Development Fund (ERDF) | |
dc.contributor.funder | Universidad de Malaga | |
dc.contributor.funder | Instituto de Investigacion Biomedica de Malaga (IBIMA) | |
dc.contributor.funder | Spanish Ministry of Education, Culture and Sport under the FPU program | |
dc.contributor.funder | Universidad de Malaga/CBUA | |
dc.date.accessioned | 2025-01-07T16:34:35Z | |
dc.date.available | 2025-01-07T16:34:35Z | |
dc.date.issued | 2021-08-18 | |
dc.description.abstract | Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious effect of suboptimal fits is alleviated. Therefore, the accuracy of the combined ellipse fit is higher than the accuracy of the individual methods. Three characterizations of the ellipse have been considered by different researchers: algebraic, geometric, and natural. In this paper, the natural characterization has been employed in our method due to its superior performance. Furthermore, five ellipse fitting methods have been chosen to be combined by the proposed consensus method. The experiments include comparisons of our proposal with the original methods and additional ones. Several tests with synthetic and bitmap image datasets demonstrate its great potential with noisy data and the presence of occlusion. The proposed consensus algorithm is the only one that ranks among the first positions for all the tests that were carried out. This demonstrates the suitability of our proposal for practical applications with high occlusion or noise. (c) 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | |
dc.identifier.doi | 10.1016/j.ins.2021.08.011 | |
dc.identifier.essn | 1872-6291 | |
dc.identifier.issn | 0020-0255 | |
dc.identifier.unpaywallURL | https://doi.org/10.1016/j.ins.2021.08.011 | |
dc.identifier.uri | https://hdl.handle.net/10668/27869 | |
dc.identifier.wosID | 701166800019 | |
dc.journal.title | Information sciences | |
dc.journal.titleabbreviation | Inf. sci. | |
dc.language.iso | en | |
dc.organization | Instituto de Investigación Biomédica de Málaga - Plataforma Bionand (IBIMA) | |
dc.page.number | 310-324 | |
dc.publisher | Elsevier science inc | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | ellipse fitting | |
dc.subject | conic fitting | |
dc.subject | ensemble methods | |
dc.subject | L1-norm | |
dc.subject | spatial median consensus | |
dc.subject | Group decision-making | |
dc.subject | Computer vision | |
dc.subject | Planar curves | |
dc.subject | Models | |
dc.subject | Scale | |
dc.subject | Approximation | |
dc.subject | Regression | |
dc.subject | Surfaces | |
dc.subject | Fit | |
dc.title | Ensemble ellipse fitting by spatial median consensus | |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 579 | |
dc.wostype | Article |