Repository logo
 
Publication

Using local binary patterns in speckle image analysis

2018-05Conference paper Open access
Simple item page
dc.contributor.authorBento, L.
dc.contributor.authorde Oliveira Pegado de Noronha E Távora, Luís Miguel
dc.contributor.authorAssunção, Pedro
dc.contributor.authorFaria, Sergio
dc.contributor.authorFonseca-Pinto, Rui
dc.date.accessioned2025-07-16T14:35:13Z
dc.date.available2025-07-16T14:35:13Z
dc.date.issued2018-05
dc.description.abstractFirstly described by Newton in the 17th century, speckle is an optical phenomenon which can be translated into image patterns produced by wave interferences of diffused reflections. In fact, the speckle pattern is generated by the multiple interference phenomena that occur when a rough surface is illuminated with a coherent source of light, producing randomly distributed reflected waves of the same frequency but different phases and amplitudes. Although it has been known for a long time, capturing video sequences of speckle patterns was dependent on recent technological developments, in particular, related to laser technology and microsensors. The speckle acquisition setup comprises a light source, usually a laser, an optical beam expander and a CCD camera. The generated interference patterns are captured in series of video sequences, to further be processed. In previous works, several image processing algorithms have been applied to analyze video frames of speckle, aimed to capture the evolution patterns in dynamic processes. However, due to the typical high frequencies of the changing patterns, classical texture algorithms mostly fail this goal. In this work, speckle dynamics are evaluated using Local Binary Patterns (LBP) jointly with some of its main variants and a newly proposed algorithm, in a reactive hyperemia controlled test. The proposed methodology goes beyond the traditional implementations of LBPs, by considering an additional Gaussian filtering, a methodology thus coined as LBPg. The results, on one hand, confirm that the classical formulations of LBP are not sensitive to changes in the simulated patterns but, on the other hand, demonstrate that the newly proposed LBP-adapted algorithm successfully identify the dynamics of the processes under study.eng
dc.identifier.citationL. Bento, L. Távora, P. Assunção, S. Faria and R. Fonseca-Pinto, "Using local binary patterns in speckle image analysis," 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, 2018, pp. 0167-0171, doi: 10.23919/MIPRO.2018.8400033.
dc.identifier.doi10.23919/mipro.2018.8400033
dc.identifier.isbn978-953-233-095-3
dc.identifier.urihttp://hdl.handle.net/10400.8/13673
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/8400033
dc.relation.ispartof2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocal Binary Patterns
dc.subjectLaser Speckle
dc.subjectVideo Processing
dc.subjectComputer Vision
dc.titleUsing local binary patterns in speckle image analysiseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2018-05
oaire.citation.conferencePlaceOpatija, Croatia
oaire.citation.endPage171
oaire.citation.startPage167
oaire.citation.title2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamede Oliveira Pegado de Noronha E Távora
person.familyNameAssunção
person.familyNameFaria
person.familyNameFonseca-Pinto
person.givenNameLuís Miguel
person.givenNamePedro
person.givenNameSergio
person.givenNameRui
person.identifier.ciencia-id121C-FADA-D750
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id8815-4101-28DD
person.identifier.ciencia-id681D-C547-B184
person.identifier.orcid0000-0002-8580-1979
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0002-0993-9124
person.identifier.orcid0000-0001-6774-5363
person.identifier.ridA-4827-2017
person.identifier.ridC-5245-2011
person.identifier.ridK-9449-2014
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id14027853900
person.identifier.scopus-author-id26039086400
relation.isAuthorOfPublication71940f24-f333-4ab6-abf6-00c7119a07c2
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication7eb9d123-1800-4afd-a2f6-91043353011b
relation.isAuthorOfPublication.latestForDiscovery71940f24-f333-4ab6-abf6-00c7119a07c2

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Using_local_binary_patterns_in_speckle_image_analysis.pdf
Size:
278.47 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTG - Comunicações em conferências e congressos internacionais