Infrared and visible image fusion based on nonparametric segmentation

7 pags., 4 figs.,1 tab.

Detalhes bibliográficos
Autores: Singh, H., Hrisheekesha, P.N., Cristóbal, Gabriel
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2019
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/207180
Acesso em linha:http://hdl.handle.net/10261/207180
Access Level:Acceso aberto
Palavra-chave:Infrared
Visible image
Night vision
Image fusion
Segmentation
Histogram
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repository_id_str
spelling Infrared and visible image fusion based on nonparametric segmentationSingh, H.Hrisheekesha, P.N.Cristóbal, GabrielInfraredVisible imageNight visionImage fusionSegmentationHistogram7 pags., 4 figs.,1 tab.Image fusion is a process of combining an image sequence of the same scene into a single image for better human perception & targeting. The thermal energy reflected from outstanding objects under poor lighting conditions and visible information that yield spatial details needs to be fused for improving the performance of surveillance systems. In this paper, we present a fusion technique that is helpful in surveillance systems for detecting targets when the background and the targets are of the same color. A nonparametric segmentation based weight map computation technique is proposed to extract target details from infrared (IR) imagery. The optimal threshold based on local features is selected automatically for target detection. With this, the extracted salient information of targets is blended to visible image without introducing distortions. The main advantage of the new technique is that it is based on a single-scale binary map (SSBM) fusion approach. The binary weight maps are computed for the fusion of separable IR target with visible imagery. An extension to IR and visible color image fusion is also suggested for target localization. Several simulation results are demonstrated for different data sets to support the validity of the proposed technique.Blue Eyes Intelligence Engineering & Sciences PublicationConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020192020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/207180reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.35940/ijitee.I1005.0789S19Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2071802026-05-22T06:33:51Z
dc.title.none.fl_str_mv Infrared and visible image fusion based on nonparametric segmentation
title Infrared and visible image fusion based on nonparametric segmentation
spellingShingle Infrared and visible image fusion based on nonparametric segmentation
Singh, H.
Infrared
Visible image
Night vision
Image fusion
Segmentation
Histogram
title_short Infrared and visible image fusion based on nonparametric segmentation
title_full Infrared and visible image fusion based on nonparametric segmentation
title_fullStr Infrared and visible image fusion based on nonparametric segmentation
title_full_unstemmed Infrared and visible image fusion based on nonparametric segmentation
title_sort Infrared and visible image fusion based on nonparametric segmentation
dc.creator.none.fl_str_mv Singh, H.
Hrisheekesha, P.N.
Cristóbal, Gabriel
author Singh, H.
author_facet Singh, H.
Hrisheekesha, P.N.
Cristóbal, Gabriel
author_role author
author2 Hrisheekesha, P.N.
Cristóbal, Gabriel
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Infrared
Visible image
Night vision
Image fusion
Segmentation
Histogram
topic Infrared
Visible image
Night vision
Image fusion
Segmentation
Histogram
description 7 pags., 4 figs.,1 tab.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/207180
url http://hdl.handle.net/10261/207180
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.35940/ijitee.I1005.0789S19
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Blue Eyes Intelligence Engineering & Sciences Publication
publisher.none.fl_str_mv Blue Eyes Intelligence Engineering & Sciences Publication
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411029068283904
score 15,223283

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