Comparison of Different Image Enhancing Techniques for Medical Thermal Images

Detalhes bibliográficos
Autor(a) principal: Ricardo Vardasca, PhD, ASIS, FRPS
Data de Publicação: 2015
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.26/30175
Resumo: Medical infrared (IR) images are, like other medical images, sensitive to noise, which affects directly the temperature measurement of the subject. There are several noise removal techniques that have good performance on digital images, but may produce different temperature readings on thermal images. Hundred and twenty different noisy images were selected from a database and after being processed with several noise removal techniques, the result was statistically analyzed using the standard parameters: maximum, minimum and mean temperature, standard deviation of same region of interest, root mean square error, signal to noise ratio, cross correlation coefficient. In the end, all techniques were compared and graded according with the results. This investigation shows that all techniques produce different results, the recommended method for improving medical thermal images are the Median, Mean and Wiener filters. Results however suggest that noise filtering should only be applied when specifically needed.
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spelling Comparison of Different Image Enhancing Techniques for Medical Thermal ImagesImage FilteringImage EnhancingInfrared ImagingMedical ThermographyNoise ProcessingMedical infrared (IR) images are, like other medical images, sensitive to noise, which affects directly the temperature measurement of the subject. There are several noise removal techniques that have good performance on digital images, but may produce different temperature readings on thermal images. Hundred and twenty different noisy images were selected from a database and after being processed with several noise removal techniques, the result was statistically analyzed using the standard parameters: maximum, minimum and mean temperature, standard deviation of same region of interest, root mean square error, signal to noise ratio, cross correlation coefficient. In the end, all techniques were compared and graded according with the results. This investigation shows that all techniques produce different results, the recommended method for improving medical thermal images are the Median, Mean and Wiener filters. Results however suggest that noise filtering should only be applied when specifically needed.Repositório ComumRicardo Vardasca, PhD, ASIS, FRPS2019-11-18T10:42:43Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/30175enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-05T14:38:33Zoai:comum.rcaap.pt:10400.26/30175Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:02:16.973578Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Comparison of Different Image Enhancing Techniques for Medical Thermal Images
title Comparison of Different Image Enhancing Techniques for Medical Thermal Images
spellingShingle Comparison of Different Image Enhancing Techniques for Medical Thermal Images
Ricardo Vardasca, PhD, ASIS, FRPS
Image Filtering
Image Enhancing
Infrared Imaging
Medical Thermography
Noise Processing
title_short Comparison of Different Image Enhancing Techniques for Medical Thermal Images
title_full Comparison of Different Image Enhancing Techniques for Medical Thermal Images
title_fullStr Comparison of Different Image Enhancing Techniques for Medical Thermal Images
title_full_unstemmed Comparison of Different Image Enhancing Techniques for Medical Thermal Images
title_sort Comparison of Different Image Enhancing Techniques for Medical Thermal Images
author Ricardo Vardasca, PhD, ASIS, FRPS
author_facet Ricardo Vardasca, PhD, ASIS, FRPS
author_role author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Ricardo Vardasca, PhD, ASIS, FRPS
dc.subject.por.fl_str_mv Image Filtering
Image Enhancing
Infrared Imaging
Medical Thermography
Noise Processing
topic Image Filtering
Image Enhancing
Infrared Imaging
Medical Thermography
Noise Processing
description Medical infrared (IR) images are, like other medical images, sensitive to noise, which affects directly the temperature measurement of the subject. There are several noise removal techniques that have good performance on digital images, but may produce different temperature readings on thermal images. Hundred and twenty different noisy images were selected from a database and after being processed with several noise removal techniques, the result was statistically analyzed using the standard parameters: maximum, minimum and mean temperature, standard deviation of same region of interest, root mean square error, signal to noise ratio, cross correlation coefficient. In the end, all techniques were compared and graded according with the results. This investigation shows that all techniques produce different results, the recommended method for improving medical thermal images are the Median, Mean and Wiener filters. Results however suggest that noise filtering should only be applied when specifically needed.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2019-11-18T10:42:43Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/30175
url http://hdl.handle.net/10400.26/30175
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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