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A method for automatic detection of rectangular regions of interest in arbitrary images

2018-07-10Conference paper Open access
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dc.contributor.authorMartins-Ferreira, Nelson
dc.contributor.authorFerreira, Lino
dc.contributor.authorPascoal-Faria, Paula
dc.contributor.authorCruz, Luis A. da Silva
dc.contributor.authorAssunção, Pedro
dc.contributor.authorAlves, Nuno
dc.date.accessioned2025-07-15T13:46:46Z
dc.date.available2025-07-15T13:46:46Z
dc.date.issued2018-07-10
dc.description.abstractThis paper presents a computational method to extract optimum rectangular Regions of Interest (RoI) in images with an associated saliency map. Although saliency maps provide an individual relevance measure for each pixel, to find the sub-image (i.e., rectangular region) that contains the set of the most relevant pixels requires an optimisation procedure to define the boundaries of the best RoI. This is achieved by the method devised in the paper, by following an approach based on balancing the amount of relevant information that is included and excluded from the RoI. The results show that such method is capable of finding the most relevant rectangular RoI and thus to extract the optimum sub-images according to the relevance measure given by a generic saliency map. Since the method is not tied to any particular type of images, it finds application in quite different fields, such as salient object extraction and processing in industry and surveillance, image compression using attention modelling, biomedical imaging, etc.eng
dc.description.sponsorshipPart of this work was supported by R&D Unit UID/EEA/50008/2013 (Project 3DVQM), and PhD Grant SFRH/BD/37510/2007, co-funded by FEDER-PT2020, FCT/MEC, Portugal. This research work was also sup ported by the Portuguese Foundation for Science and Technology (FCT) through the Project reference UID/Multi/04044/2013.
dc.identifier.citationNelson Martins-Ferreira, Lino Ferreira, Paula Pascoal-Faria, Luis A. da Silva Cruz, Pedro Assuncao, Nuno Alves; A method for automatic detection of rectangular regions of interest in arbitrary images. AIP Conf. Proc. 10 July 2018; 1978 (1): 160009. https://doi.org/10.1063/1.5043819
dc.identifier.doi10.1063/1.5043819
dc.identifier.issn0094-243X
dc.identifier.urihttp://hdl.handle.net/10400.8/13651
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAIP Publishing
dc.relationUID/EEA/50008/2013
dc.relationUID/Multi/04044/2013
dc.relation.hasversionhttps://pubs.aip.org/aip/acp/article/1978/1/160009/979355/A-method-for-automatic-detection-of-rectangular
dc.relation.ispartofAIP Conference Proceedings
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIndustry
dc.subjectMedical imaging
dc.subjectComputational methods
dc.titleA method for automatic detection of rectangular regions of interest in arbitrary imageseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2017-09
oaire.citation.conferencePlaceThessaloniki, Greece
oaire.citation.titleINTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017)
oaire.citation.volume1978
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMartins-Ferreira
person.familyNameFerreira
person.familyNamePascoal-Faria
person.familyNameAssunção
person.familyNameAlves
person.givenNameNelson
person.givenNameLino
person.givenNamePaula
person.givenNamePedro
person.givenNameNuno
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person.identifier.orcid0000-0002-5016-0868
person.identifier.ridN-1699-2013
person.identifier.ridAAA-4462-2020
person.identifier.ridA-4827-2017
person.identifier.ridN-4073-2013
person.identifier.scopus-author-id24598020700
person.identifier.scopus-author-id36881920000
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id7006403383
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