Image feature extraction using OD-monotone functions
dc.contributor.author | Marco Detchart, Cedric | |
dc.contributor.author | López Molina, Carlos | |
dc.contributor.author | Fernández Fernández, Francisco Javier | |
dc.contributor.author | Pagola Barrio, Miguel | |
dc.contributor.author | Bustince Sola, Humberto | |
dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
dc.date.accessioned | 2020-04-17T10:27:14Z | |
dc.date.available | 2020-04-17T10:27:14Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, in which one of the key parts is feature extraction. This work presents a method to extract edge features from a grayscale image using the so-called ordered directionally monotone functions. For this purpose we introduce some concepts about directional monotonicity and present two construction methods for feature extraction operators. The proposed technique is competitive with the existing methods in the literature. Furthermore, if we combine the features obtained by different methods using penalty functions, the results are equal or better results than stateof-the-art methods. | en |
dc.description.sponsorship | This work is supported by the Spanish Ministry of Science (Project TIN2016-77356-P) and the Research Services of Universidad Publica de Navarra. | en |
dc.format.extent | 12 p. | |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | 10.1007/978-3-319-91473-2_23 | |
dc.identifier.isbn | 978-3-319-91473-2 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/36747 | |
dc.language.iso | eng | en |
dc.publisher | Springer | en |
dc.relation.ispartof | Medina J. et al. (eds): Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham | en |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-P/ | |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-319-91473-2_23 | |
dc.rights | © Springer International Publishing AG, part of Springer Nature 2018 | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.subject | Edge detection | en |
dc.subject | Feature extraction | en |
dc.subject | Ordered directionally monotone functions | en |
dc.subject | Penalty functions | en |
dc.title | Image feature extraction using OD-monotone functions | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | |
dspace.entity.type | Publication | |
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