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Radon Transformation Applied to the Segmentation of Grayscale Digital Images

A transformada de Radon aplicada à segmentação de imagens digitais em escala de cinzas;
La transformada de Radon aplicada a la segmentación de imágenes digitales en escala de grises

dc.contributor.authorDe Armas Costa, Ricarod Joaquín
dc.contributor.authorQuintero Torres, Shirley Viviana
dc.contributor.authorAcosta Muñoz, Cristina
dc.contributor.authorRey Torres, Carlos Camilo Guillermo
dc.date.accessioned2019-11-07T15:00:31Z
dc.date.available2019-11-07T15:00:31Z
dc.date.created2018-07-04
dc.identifier.issn1692-3324
dc.identifier.urihttp://hdl.handle.net/11407/5498
dc.description.abstractIn this scientific research article, the community interested in digital image processing is introduced to the new application of Radon’s transformation to segment images in grayscale, which allows the identification and classification of regions or objects, which can be extended to color images. Results obtained were compared with the results of two classic segmentation algorithms: the optimized Otsu thresholding algorithm, and the Seeded Region Growing growth algorithm.eng
dc.description.abstractEste artigo de pesquisa científica está dirigido à comunidade interessa no processamento digital de imagens, uma aplicação inédita da transformada de Radon para segmentar imagens em escala de cinzas, o que permite a identificação e classificação de regiões ou objetos, a qual se pode estender a imagens em cor. Os resultados obtidos foram comparados com os resultados de dois algoritmos clássicos de segmentação: o algoritmo de umbralização Otsu otimizado e o algoritmo de crescimento de regiões Seeded Region Growing.por
dc.description.abstractEn este artículo de investigación científica se da a conocer a la comunidad interesada en el procesamiento digital de imágenes, una aplicación inédita de la transformada de Radon para segmentar imágenes en escala de grises, lo que permite la identificación y clasificación de regiones u objetos, misma que puede extenderse a imágenes en color. Los resultados obtenidos se compararon con los resultados de dos algoritmos clásicos de segmentación: el algoritmo de umbralización Otsu optimizado, y el algoritmo de crecimiento de regiones Seeded Region Growing.spa
dc.format.extentp. 213-227spa
dc.format.mediumElectrónicospa
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad de Medellínspa
dc.relation.urihttps://revistas.udem.edu.co/index.php/ingenierias/article/view/1794
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceRevista Ingenierías Universidad de Medellín; Vol. 17 Núm. 32 (2018): Enero-Junio; 213-227spa
dc.subjectRadon transformationeng
dc.subjectSegmentationeng
dc.subjectRegion of interesteng
dc.subjectBinarized imageseng
dc.subjectTransformada de Radonpor
dc.subjectSegmentaçãopor
dc.subjectRegião de interessepor
dc.subjectImagens binarizadaspor
dc.subjectTransformada de Radonspa
dc.subjectSegmentaciónspa
dc.subjectRegión de interésspa
dc.subjectImágenes binarizadasspa
dc.titleRadon Transformation Applied to the Segmentation of Grayscale Digital Imageseng
dc.titleA transformada de Radon aplicada à segmentação de imagens digitais em escala de cinzaspor
dc.titleLa transformada de Radon aplicada a la segmentación de imágenes digitales en escala de grisesspa
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.22395/rium.v17n32a10
dc.relation.citationvolume17
dc.relation.citationissue32
dc.relation.citationstartpage213
dc.relation.citationendpage227
dc.audienceComunidad Universidad de Medellínspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.coverageLat: 06 15 00 N  degrees minutes  Lat: 6.2500  decimal degreesLong: 075 36 00 W  degrees minutes  Long: -75.6000  decimal degrees
dc.publisher.placeMedellínspa
dc.creator.affiliationDe Armas Costa, Ricarod Joaquín; Universidad Centralspa
dc.creator.affiliationQuintero Torres, Shirley Viviana; Universidad Centralspa
dc.creator.affiliationAcosta Muñoz, Cristina; Universidad Centralspa
dc.creator.affiliationRey Torres, Carlos Camilo Guillermo; Universidad Centralspa
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dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.identifier.eissn2248-4094
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo científicospa
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.relation.ispartofjournalRevista Ingenierías Universidad de Medellínspa


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