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Selection of a Stopping Criterion for Anisotropic Diffusion Filtering in Ultrasound Images

dc.creatorGuillen J.E.I.
dc.creatorContreras Ortiz, Sonia Helena
dc.date.accessioned2020-03-26T16:33:03Z
dc.date.available2020-03-26T16:33:03Z
dc.date.issued2019
dc.identifier.citation2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
dc.identifier.isbn9781728114910
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9148
dc.description.abstractUltrasound imaging is a safe and cost-effective diagnostic tool, but the quality of the images is affected by speckle noise and artifacts. Anisotropic diffusion filters can be used to reduce noise and preserve the edges in the image. However, this technique is very sensitive to the number of iterations selected. This paper proposes a stopping criterion for effective noise removal without blurring the edges, based on the relative variance between the estimated denoised image and the original one. Different quality metrics were evaluated in 25 test images. The results suggest that the proposed stopping criterion can be implemented efficiently and aids in the process of automation of the filter. © 2019 IEEE.eng
dc.description.sponsorshipIEEE Colombia Section;IEEE Signal Processing Society Colombia Chapter;Universidad Industrial de Santander
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068081454&doi=10.1109%2fSTSIVA.2019.8730287&partnerID=40&md5=547d371e28c0c01ef46a5d37bd2fb3a8
dc.sourceScopus2-s2.0-85068081454
dc.titleSelection of a Stopping Criterion for Anisotropic Diffusion Filtering in Ultrasound Images
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1109/STSIVA.2019.8730287
dc.subject.keywordsAnisotropic diffusion filtering
dc.subject.keywordsSpeckle reduction
dc.subject.keywordsStopping criterion
dc.subject.keywordsUltrasound image enhancement
dc.subject.keywordsCost effectiveness
dc.subject.keywordsDiffusion
dc.subject.keywordsImage enhancement
dc.subject.keywordsOptical anisotropy
dc.subject.keywordsSpeckle
dc.subject.keywordsUltrasonic imaging
dc.subject.keywordsVision
dc.subject.keywordsAnisotropic diffusion filtering
dc.subject.keywordsAnisotropic diffusion filters
dc.subject.keywordsNumber of iterations
dc.subject.keywordsSpeckle reduction
dc.subject.keywordsStopping criteria
dc.subject.keywordsUltrasound image enhancements
dc.subject.keywordsUltrasound images
dc.subject.keywordsUltrasound imaging
dc.subject.keywordsImage denoising
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferencedate24 April 2019 through 26 April 2019
dc.type.spaConferencia
dc.identifier.orcid57209541901
dc.identifier.orcid57210822856


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.