Polymer optical fiber curvature measuring technique based on speckle pattern image processing

Detalhes bibliográficos
Autor(a) principal: Hägele, Johann Clemens
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/9678
Resumo: A self-developed light intensity-modulated curvature measuring principle for the measurement of bending angles within a range from −120 ◦ to +130 ◦ under application of a Polymer Optical Fiber is described in the present work. The determination of the bending angle is based on the graphical analysis of the speckle-pattern that is affected by the curved fiber. The contours of speckles in a defined region of interest in the speckle-pattern are made visible by an edge-detection algorithm and their amount is set in relation to the bending angle. The digital image of a speckle-pattern represents a source of image information that facilitates the further analysis by a variety of image processing techniques. The purpose of this work is the evaluation of a graphical analysis of a speckle-pattern for the curvature measurement. The research incorporates the basic study of general effects on the fiber under curvature until the development of a final measurement setup that facilitates a reliable and precise measurement of the bending angle. Coherent light with a wavelength of 632.8 nm is propagated through a looped Polymer Optical Fiber and received by a 5-Megapixel Charge-Coupled-Device-camera, positioned on the fiber output face. An especially designed acrylic goniometer facilitates the defined bending of the fiber for different fiber loop configurations. Different fiber arrangements and spatial image filters are evaluated under consideration of precision of bending angle gauging and computational efficiency. A developed digital signal processing routine performs a signal noise reduction and precision improvement for the bending angle measurement. Practical results revealed the existence of a non-linear dependence in static and dynamic operation in the range from −120 ◦ to +130 ◦ between the geometrical arrangements of the fiber, the average pixel intensity, the amount of detected speckle contours and the bending angle. A potential application of the sensor for the measurement of human joint movement and posture in the medical field of rehabilitation is possible. The curvature measurement for an application in the robotic field or industrial application is also convenient.
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spelling Pontes, Maria JoséFrizera Neto, AnselmoHägele, Johann ClemensBenevides, Alessandro BottiAntunes, Paulo Fernando da Costa2018-08-02T00:01:13Z2018-08-012018-08-02T00:01:13Z2015-10-15A self-developed light intensity-modulated curvature measuring principle for the measurement of bending angles within a range from −120 ◦ to +130 ◦ under application of a Polymer Optical Fiber is described in the present work. The determination of the bending angle is based on the graphical analysis of the speckle-pattern that is affected by the curved fiber. The contours of speckles in a defined region of interest in the speckle-pattern are made visible by an edge-detection algorithm and their amount is set in relation to the bending angle. The digital image of a speckle-pattern represents a source of image information that facilitates the further analysis by a variety of image processing techniques. The purpose of this work is the evaluation of a graphical analysis of a speckle-pattern for the curvature measurement. The research incorporates the basic study of general effects on the fiber under curvature until the development of a final measurement setup that facilitates a reliable and precise measurement of the bending angle. Coherent light with a wavelength of 632.8 nm is propagated through a looped Polymer Optical Fiber and received by a 5-Megapixel Charge-Coupled-Device-camera, positioned on the fiber output face. An especially designed acrylic goniometer facilitates the defined bending of the fiber for different fiber loop configurations. Different fiber arrangements and spatial image filters are evaluated under consideration of precision of bending angle gauging and computational efficiency. A developed digital signal processing routine performs a signal noise reduction and precision improvement for the bending angle measurement. Practical results revealed the existence of a non-linear dependence in static and dynamic operation in the range from −120 ◦ to +130 ◦ between the geometrical arrangements of the fiber, the average pixel intensity, the amount of detected speckle contours and the bending angle. A potential application of the sensor for the measurement of human joint movement and posture in the medical field of rehabilitation is possible. The curvature measurement for an application in the robotic field or industrial application is also convenient.ResumoTexthttp://repositorio.ufes.br/handle/10/9678engUniversidade Federal do Espírito SantoMestrado em Engenharia ElétricaPrograma de Pós-Graduação em Engenharia ElétricaUFESBRCentro TecnológicoSensor de curvaturaSpeckleProcessamento de imagensFibras ópticasPolímerosReconhecimento de padrõesEngenharia Elétrica621.3Polymer optical fiber curvature measuring technique based on speckle pattern image processinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINALtese_8802_Thesis_JCH_22.12.15_Biblioteca.pdfapplication/pdf17608374http://repositorio.ufes.br/bitstreams/496d49d9-9e30-4dfb-ae14-803d45783f39/download64b4338a746bc381e0aea023650cd643MD5110/96782024-07-17 17:01:39.429oai:repositorio.ufes.br:10/9678http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-10-15T17:58:51.361052Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv Polymer optical fiber curvature measuring technique based on speckle pattern image processing
title Polymer optical fiber curvature measuring technique based on speckle pattern image processing
spellingShingle Polymer optical fiber curvature measuring technique based on speckle pattern image processing
Hägele, Johann Clemens
Sensor de curvatura
Engenharia Elétrica
Speckle
Processamento de imagens
Fibras ópticas
Polímeros
Reconhecimento de padrões
621.3
title_short Polymer optical fiber curvature measuring technique based on speckle pattern image processing
title_full Polymer optical fiber curvature measuring technique based on speckle pattern image processing
title_fullStr Polymer optical fiber curvature measuring technique based on speckle pattern image processing
title_full_unstemmed Polymer optical fiber curvature measuring technique based on speckle pattern image processing
title_sort Polymer optical fiber curvature measuring technique based on speckle pattern image processing
author Hägele, Johann Clemens
author_facet Hägele, Johann Clemens
author_role author
dc.contributor.advisor-co1.fl_str_mv Pontes, Maria José
dc.contributor.advisor1.fl_str_mv Frizera Neto, Anselmo
dc.contributor.author.fl_str_mv Hägele, Johann Clemens
dc.contributor.referee1.fl_str_mv Benevides, Alessandro Botti
dc.contributor.referee2.fl_str_mv Antunes, Paulo Fernando da Costa
contributor_str_mv Pontes, Maria José
Frizera Neto, Anselmo
Benevides, Alessandro Botti
Antunes, Paulo Fernando da Costa
dc.subject.por.fl_str_mv Sensor de curvatura
topic Sensor de curvatura
Engenharia Elétrica
Speckle
Processamento de imagens
Fibras ópticas
Polímeros
Reconhecimento de padrões
621.3
dc.subject.cnpq.fl_str_mv Engenharia Elétrica
dc.subject.br-rjbn.none.fl_str_mv Speckle
Processamento de imagens
Fibras ópticas
Polímeros
Reconhecimento de padrões
dc.subject.udc.none.fl_str_mv 621.3
description A self-developed light intensity-modulated curvature measuring principle for the measurement of bending angles within a range from −120 ◦ to +130 ◦ under application of a Polymer Optical Fiber is described in the present work. The determination of the bending angle is based on the graphical analysis of the speckle-pattern that is affected by the curved fiber. The contours of speckles in a defined region of interest in the speckle-pattern are made visible by an edge-detection algorithm and their amount is set in relation to the bending angle. The digital image of a speckle-pattern represents a source of image information that facilitates the further analysis by a variety of image processing techniques. The purpose of this work is the evaluation of a graphical analysis of a speckle-pattern for the curvature measurement. The research incorporates the basic study of general effects on the fiber under curvature until the development of a final measurement setup that facilitates a reliable and precise measurement of the bending angle. Coherent light with a wavelength of 632.8 nm is propagated through a looped Polymer Optical Fiber and received by a 5-Megapixel Charge-Coupled-Device-camera, positioned on the fiber output face. An especially designed acrylic goniometer facilitates the defined bending of the fiber for different fiber loop configurations. Different fiber arrangements and spatial image filters are evaluated under consideration of precision of bending angle gauging and computational efficiency. A developed digital signal processing routine performs a signal noise reduction and precision improvement for the bending angle measurement. Practical results revealed the existence of a non-linear dependence in static and dynamic operation in the range from −120 ◦ to +130 ◦ between the geometrical arrangements of the fiber, the average pixel intensity, the amount of detected speckle contours and the bending angle. A potential application of the sensor for the measurement of human joint movement and posture in the medical field of rehabilitation is possible. The curvature measurement for an application in the robotic field or industrial application is also convenient.
publishDate 2015
dc.date.issued.fl_str_mv 2015-10-15
dc.date.accessioned.fl_str_mv 2018-08-02T00:01:13Z
dc.date.available.fl_str_mv 2018-08-01
2018-08-02T00:01:13Z
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url http://repositorio.ufes.br/handle/10/9678
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv Text
dc.publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Engenharia Elétrica
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Elétrica
dc.publisher.initials.fl_str_mv UFES
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Centro Tecnológico
publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Engenharia Elétrica
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