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Ultrametrics for context-aware comparison of binary images
| dc.creator | López Molina, Carlos | es_ES |
| dc.creator | Iglesias Rey, Sara | es_ES |
| dc.creator | Baets, Bernard de | es_ES |
| dc.date.accessioned | 2024-03-25T17:08:06Z | |
| dc.date.available | 2024-03-25T17:08:06Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Lopez-Molina, C., Iglesias-Rey, S., De Baets, B. (2024) Ultrametrics for context-aware comparison of binary images. Information Fusion, 103, 1-12. https://doi.org/10.1016/j.inffus.2023.102101. | en |
| dc.identifier.issn | 1566-2535 | |
| dc.identifier.uri | https://hdl.handle.net/2454/47789 | |
| dc.description.abstract | Quantitative image comparison has been a key topic in the image processing literature for the past 30 years. The reasons for it are diverse, and so is the range of applications in which measures of comparison are needed. Examples of image processing tasks requiring such measures are the evaluation of algorithmic results (through the comparison of computer-generated results to given ground truth) or the selection of loss/goal functions in a machine learning context. Measures of comparison in literature take different inspirations, and are often tailored to specific needs. Nevertheless, even if some measures of comparison intend to replicate how humans evaluate the similarity of two images, they normally overlook a fundamental characteristic of the way humans perform such evaluation: the context of comparison. In this paper, we present a measure of comparison for binary images that incorporates a sense of context. More specifically, we present a Methodology for the generation of ultrametrics for context-aware comparison of binary images. We test our proposal in the context of boundary image comparison on the BSDS500 benchmark. | en |
| dc.description.sponsorship | The authors gratefully acknowledge the financial support of the Spanish Research Agency, project PID2019-108392GB-I00 (AEI/10. 13039/501100011033), as well as that of Navarra de Servicios y Tecnologías, S.A. (NASERTIC). | en |
| dc.format.mimetype | application/pdf | en |
| dc.language.iso | eng | en |
| dc.publisher | Elsevier | en |
| dc.relation.ispartof | Information Fusion 103 (2024) 102101 | en |
| dc.rights | © 2023 The Authors. This is an open access article under the CC BY-NC license. | en |
| dc.rights.uri | http://creativecommons.org/licenses/bync/ 4.0/ | |
| dc.subject | Binary image | en |
| dc.subject | Context awareness | en |
| dc.subject | Image comparison | en |
| dc.subject | Ultrametric | en |
| dc.title | Ultrametrics for context-aware comparison of binary images | en |
| dc.type | Artículo / Artikulua | es |
| dc.type | info:eu-repo/semantics/article | en |
| dc.date.updated | 2024-03-25T16:52:48Z | |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
| dc.identifier.doi | 10.1016/j.inffus.2023.102101 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/ | en |
| dc.relation.publisherversion | https://doi.org/10.1016/j.inffus.2023.102101 | |
| dc.type.version | Versión publicada / Argitaratu den bertsioa | es |
| dc.type.version | info:eu-repo/semantics/publishedVersion | en |
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