Academic Journal
Neuro-inspired edge feature fusion using Choquet integrals
| العنوان: | Neuro-inspired edge feature fusion using Choquet integrals |
|---|---|
| المؤلفون: | Marco-Detchart, Cédric, Lucca, Giancarlo, Lopez-Molina, Carlos, De Miguel, Laura, Pereira Dimuro, Graçaliz, Bustince, Humberto |
| المساهمون: | Universidad Pública de Navarra, Agencia Estatal de Investigación, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasil, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil |
| بيانات النشر: | Elsevier |
| سنة النشر: | 2021 |
| المجموعة: | Universitat Politécnica de Valencia: RiuNet / Politechnical University of Valencia |
| مصطلحات موضوعية: | Image processing, Feature extraction, Edge detection, Choquet integral, CF-integral, Re-aggregation functions, LENGUAJES Y SISTEMAS INFORMATICOS |
| الوصف: | [EN] It is known that the human visual system performs a hierarchical information process in which early vision cues (or primitives) are fused in the visual cortex to compose complex shapes and descriptors. While different aspects of the process have been extensively stud- ied, such as lens adaptation or feature detection, some other aspects, such as feature fusion, have been mostly left aside. In this work, we elaborate on the fusion of early vision prim- itives using generalizations of the Choquet integral, and novel aggregation operators that have been extensively studied in recent years. We propose to use generalizations of the Choquet integral to sensibly fuse elementary edge cues, in an attempt to model the behaviour of neurons in the early visual cortex. Our proposal leads to a fully-framed edge detection algorithm whose performance is put to the test in state-of-the-art edge detection datasets. ; The authors gratefully acknowledge the financial support of the Spanish Ministry of Science and Technology (project PID2019-108392GB-I00 (AEI/10.13039/501100011033), the Research Services of Universidad Pública de Navarra, CNPq (307781/2016-0, 301618/2019-4), FAPERGS (19/2551-0001660) and PNPD/CAPES (464880/2019-00). ; Marco-Detchart, C.; Lucca, G.; Lopez-Molina, C.; De Miguel, L.; Pereira Dimuro, G.; Bustince, H. (2021). Neuro-inspired edge feature fusion using Choquet integrals. Information Sciences. 581:740-754. https://doi.org/10.1016/j.ins.2021.10.016 ; 740 ; 754 ; 581 |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 0020-0255 |
| Relation: | Information Sciences; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/FUSION DE DATOS CONSIDERANDO LAS DISIMILITUDES Y OTROS TIPOS DE RELACIONES ENTRE LOS MISMOS Y APLICACION A INTELIGENCIA ARTIFICIAL/; info:eu-repo/grantAgreement/CNPq//307781%2F2016-0/; info:eu-repo/grantAgreement/CNPq//301618%2F2019-4/; info:eu-repo/grantAgreement/FAPERGS//19%2F2551-0001660/; info:eu-repo/grantAgreement/CAPES//464880%2F2019-00/; info:eu-repo/grantAgreement/UPNA//FPI-UPNA-2016/; https://doi.org/10.1016/j.ins.2021.10.016; urn:issn:0020-0255; http://hdl.handle.net/10251/184294 |
| DOI: | 10.1016/j.ins.2021.10.016 |
| الاتاحة: | http://hdl.handle.net/10251/184294 https://doi.org/10.1016/j.ins.2021.10.016 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.C8529F26 |
| قاعدة البيانات: | BASE |
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