Fuzzy integrals for edge detection
| dc.contributor.author | Marco Detchart, Cedric | |
| dc.contributor.author | Lucca, Giancarlo | |
| dc.contributor.author | Pereira Dimuro, Graçaliz | |
| dc.contributor.author | Da Cruz Asmus, Tiago | |
| dc.contributor.author | López Molina, Carlos | |
| dc.contributor.author | Borges, Eduardo N. | |
| dc.contributor.author | Rincón Arango, Jaime Andrés | |
| dc.contributor.author | Julian, Vicente | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.date.accessioned | 2023-11-15T10:52:03Z | |
| dc.date.issued | 2023 | |
| dc.date.updated | 2023-11-15T10:43:26Z | |
| dc.description.abstract | In this work, we compare different families of fuzzy integrals in the context of feature aggregation for edge detection. We analyze the behaviour of the Sugeno and Choquet integral and some of its generalizations. In addition, we study the influence of the fuzzy measure over the extracted image features. For testing purposes, we follow the Bezdek Breakdown Structure for edge detection and compare the different fuzzy integrals with some classical feature aggregation methods in the literature. The results of these experiments are analyzed and discussed in detail, providing insights into the strengths and weaknesses of each approach. The overall conclusion is that the configuration of the fuzzy measure does have a paramount effect on the results by the Sugeno integral, but also that satisfactory results can be obtained by sensibly tuning such parameter. The obtained results provide valuable guidance in choosing the appropriate family of fuzzy integrals and settings for specific applications. Overall, the proposed method shows promising results for edge detection and could be applied to other image-processing tasks. | en |
| dc.description.sponsorship | This work was partially supported with grant PID2021-123673OB-C31 funded by MCIN/AEI/ 10.13039/501100011033 and by ”ERDF A way of making Europe”, Conseller´ıa d’Innovaci´o, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (APOSTD/2021/227) through the European Social Fund (Investing In Your Future), grant from the Reseach Services of Universitat Polit`ecnica de Val`encia (PAID-PD-22), FAPERGS/Brazil (Proc. 19/2551-0001279-9, 19/2551- 0001660) and CNPq/Brazil (301618/2019-4, 305805/2021-5, Edital 07/2022), Programa de Apoio `a Fixa¸c˜ao de Jovens Doutores no Brasil (23/2551-0000126- 8). | en |
| dc.embargo.lift | 2024-08-21 | |
| dc.embargo.terms | 2024-08-21 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Marco-Detchart, C., Lucca, G., Dimuro, G., Asmus, T., Lopez-Molina, C., Borges, E., Rincon, J. A., Julian, V., & Bustince, H. (2023). Fuzzy integrals for edge detection. En S. Massanet, S. Montes, D. Ruiz-Aguilera, & M. González-Hidalgo (Eds.), Fuzzy Logic and Technology, and Aggregation Operators (Vol. 14069, pp. 330-341). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-39965-7_28 | en |
| dc.identifier.doi | 10.1007/978-3-031-39965-7_28 | |
| dc.identifier.isbn | 978-3-031-39964-0 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/46758 | |
| dc.language.iso | eng | en |
| dc.publisher | Springer | en |
| dc.relation.ispartof | Massanet, S.; Montes, S.; Ruiz-Aguilera, D.; González-Hidalgo, M. (Eds.). Fuzzy logic and technology, and aggregation operators: 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023. Cham: Springer; 2023. p.330-341 978-3-031-39964-0 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//PID2021-123673OB-C31/ | |
| dc.relation.publisherversion | https://doi.org/10.1007/978-3-031-39965-7_28 | |
| dc.rights | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Fuzzy integrals | en |
| dc.subject | Choquet integral | en |
| dc.subject | Sugeno integral | en |
| dc.subject | Feature extraction | en |
| dc.subject | Edge detection. | en |
| dc.title | Fuzzy integrals for edge detection | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | a5f4053a-a8c2-41e3-91c2-2b9dad6a72fd | |
| relation.isAuthorOfPublication | 8c79084b-8af8-4913-a958-52ca175bd136 | |
| relation.isAuthorOfPublication | 4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54 | |
| relation.isAuthorOfPublication | 64b6af0b-c005-4e1d-9eef-83f80e2ec8a4 | |
| relation.isAuthorOfPublication | b1df82f9-2ce4-488f-afe0-98e7f27ece58 | |
| relation.isAuthorOfPublication | 1bdd7a0e-704f-48e5-8d27-4486444f82c9 | |
| relation.isAuthorOfPublication.latestForDiscovery | a5f4053a-a8c2-41e3-91c2-2b9dad6a72fd |