Systematic review of aggregation functions applied to image edge detection

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dc.contributor.authorAmorim, Miqueias
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.authorBorges, Eduardo N.
dc.contributor.authorDalmazo, Bruno L.
dc.contributor.authorMarco Detchart, Cedric
dc.contributor.authorLucca, Giancarlo
dc.contributor.authorBustince Sola, Humberto
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2023-07-18T13:23:02Z
dc.date.available2023-07-18T13:23:02Z
dc.date.issued2023
dc.date.updated2023-07-18T13:08:17Z
dc.description.abstractEdge detection is a crucial process in numerous stages of computer vision. This field of study has recently gained momentum due to its importance in various applications. The uncertainty, among other characteristics of images, makes it difficult to accurately determine the edge of objects. Furthermore, even the definition of an edge is vague as an edge can be considered as the maximum boundary between two regions with different properties. Given the advancement of research in image discontinuity detection, especially using aggregation and pre-aggregation functions, and the lack of systematic literature reviews on this topic, this paper aims to gather and synthesize the current state of the art of this topic. To achieve this, this paper presents a systematic review of the literature, which selected 24 papers filtered from 428 articles found in computer databases in the last seven years. It was possible to synthesize important related information, which was grouped into three approaches: (i) based on both multiple descriptor extraction and data aggregation, (ii) based on both the aggregation of distance functions and fuzzy C-means, and (iii) based on fuzzy theory, namely type-2 fuzzy and neutrosophic sets. As a conclusion, this review provides interesting gaps that can be explored in future work.en
dc.description.sponsorshipThis research was partially funded by: the Spanish Ministry of Science (TIN2016-77356-P, PID2019-108392GB-I00 AEI/10.13039/501100011033) ; MCIN/AEI/ 10.13039/501100011033 (grant PID2021-123673OB-C31) ; "ERDF A way of making Europe", Consellería d’Innovació, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (APOSTD/2021/227) through the European Social Fund (Investing In Your Future) ; Reseach Services of Universitat Politècnica de València (PAID-PD-22) ; FAPERGS/Brazil (Proc. 19/2551-0001279-9, 19/2551-0001660,23/2551-0000126-8) ; CNPq/Brazil (Proc. 301618/2019-4,305805/2021-5).en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAmorim, M., Dimuro, G., Borges, E., Dalmazo, B. L., Marco-Detchart, C., Lucca, G., & Bustince, H. (2023). Systematic review of aggregation functions applied to image edge detection. Axioms, 12(4), 330. https://doi.org/10.3390/axioms12040330en
dc.identifier.doi10.3390/axioms12040330
dc.identifier.issn2075-1680
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45802
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofAxioms 2023, 12(4), 330en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//TIN2016-77356-P/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//PID2021-123673OB-C31/
dc.relation.publisherversionhttps://doi.org/10.3390/axioms12040330
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAggregation functionsen
dc.subjectEdge detectionen
dc.subjectLiterature reviewen
dc.subjectPre-aggregation functionsen
dc.titleSystematic review of aggregation functions applied to image edge detectionen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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