The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes
dc.contributor.author | Fernández Martínez, Roberto | |
dc.contributor.author | Ocariz Larrea, Ana María | |
dc.contributor.author | Iturrondobeitia Ellacuria, Maider | |
dc.contributor.author | Ibarretxe Uriguen, Julen | |
dc.date.accessioned | 2024-04-29T17:58:58Z | |
dc.date.available | 2024-04-29T17:58:58Z | |
dc.date.issued | 2023-10 | |
dc.identifier.citation | Microscopy Research and Technique 86(10) : 1237-1248 (2023) | es_ES |
dc.identifier.issn | 1097-0029 | |
dc.identifier.issn | 1059-910X | |
dc.identifier.uri | http://hdl.handle.net/10810/66929 | |
dc.description.abstract | A method for optimizing an automatic selection of values for parameters that feed segmentation algorithms is proposed. Evolutionary optimization techniques in combination with a fitness function based on a mutual information parameter have been used to find the optimal parameter values of region growing, fuzzy c-means and graph cut segmentation algorithms. To validate the method, the segmentation of two transmission electron microscopy tomography reconstructed volumes of a carbon black-reinforced rubber and a polylactic acid and clay nanocomposite is carried out (i) using evolutionary optimization techniques and (ii) manually by experts. The results confirm that the use of evolutionary optimization techniques, such as genetic algorithms, reduces the computational operation cost needed for a total grid search of segmentation parameters, reducing the probability of reaching a false optimum, and improving the segmentation quality. | es_ES |
dc.description.sponsorship | The authors would like to thank PhD Saad Ullah Akram for the script of the GC-based segmentation algorithm and the Basque Government for financial support through the KK-2019-00033-METALCRO2 project. The volume representations of the reconstructions were performed with the UCSF Chimera package (Pettersen et al., 2004). Chimera is developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, United States, San Francisco (supported by NIGMS P41-GM103311). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | characterization | es_ES |
dc.subject | genetic algorithms | es_ES |
dc.subject | microscopy | es_ES |
dc.subject | mutual information | es_ES |
dc.subject | optimization techniques | es_ES |
dc.subject | segmentation | es_ES |
dc.subject | segmentation algorithms | es_ES |
dc.subject | TEM tomography | es_ES |
dc.title | The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2023 The Authors. Microscopy Research and Technique published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/jemt.24318 | es_ES |
dc.identifier.doi | 10.1002/jemt.24318 | |
dc.departamentoes | Expresión grafica y proyectos de ingeniería | es_ES |
dc.departamentoes | Física aplicada I | es_ES |
dc.departamentoeu | Adierazpen grafikoa eta ingeniaritzako proiektuak | es_ES |
dc.departamentoeu | Fisika aplikatua I | es_ES |
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Except where otherwise noted, this item's license is described as © 2023 The Authors. Microscopy Research and Technique published by Wiley Periodicals LLC.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.