Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K
Descripción del Articulo
Edge detection is a digital image processing tool. It determines points in a digital image where light intensity suddenly changes. This process applies to a digital image which assumes some degree of uncertainty in the location and intensity of the pixel in the real image. In this work, we propose a...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2019 |
| Institución: | Universidad Nacional de Trujillo |
| Repositorio: | Revistas - Universidad Nacional de Trujillo |
| Lenguaje: | portugués español |
| OAI Identifier: | oai:ojs.revistas.unitru.edu.pe:article/2631 |
| Enlace del recurso: | https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631 |
| Nivel de acceso: | acceso abierto |
| Materia: | Edge detection interval-valued fuzzy morphology gradient morphological Deteccao de bordas morfologia matemática fuzzy intervalar morfologia gradiente |
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Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions KDetecao de Bordas baseada em Morfologia Matemática Fuzzy Intervalar e as Funcoes de Agregacao KCorbacho Carazas, LisbethSussner, PeterEdge detectioninterval-valued fuzzy morphologygradient morphologicalDeteccao de bordasmorfologia matemática fuzzy intervalarmorfologia gradienteEdge detection is a digital image processing tool. It determines points in a digital image where light intensity suddenly changes. This process applies to a digital image which assumes some degree of uncertainty in the location and intensity of the pixel in the real image. In this work, we propose an edge detection model which consists in capturing this uncertainty in terms of interval images. Then we apply interval-valued fuzzy morphology to calculate the interval-valued erosion and dilation. Finally, we compute the convex combinations of the upper and lower bounds of the interval-valued erosion and dilation image, to obtain a morphological erosion and dilation respectively, and thus an edge image.A deteccao de bordas é uma ferramenta de processamento digital de imagenes. Ela determina pontos de uma imagem digital onde a intensidade da luz muda repentinamente. Esse processo aplica-se a uma imagem digital a qual supoe algum grau de incerteza na localizacao e na intensidade do pixel da imagem real. Neste trabalho, é proposto um modelo de detecao de bordas que consiste na captura dessa incerteza em termos de imagens intervalares, para depois aplicar a erosao e dilatacao intervalar fuzzy. Finalmente, por meio de uma combinacao convexa sobre os limites superiores e inferiores da erosao e a dilatacao intervalar, sao obtidas a erosao e a dilatacao morfológica respectivamente, com as quais se faz possível produzir uma imagem borda.National University of Trujillo - Academic Department of Mathematics2019-12-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631Selecciones Matemáticas; Vol. 6 No. 02 (2019): August - December; 238-247Selecciones Matemáticas; Vol. 6 Núm. 02 (2019): Agosto-Diciembre; 238-247Selecciones Matemáticas; v. 6 n. 02 (2019): Agosto-Diciembre; 238-2472411-1783reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUporspahttps://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631/2650https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631/2671Derechos de autor 2019 Selecciones Matemáticasinfo:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/26312022-10-21T18:52:01Z |
| dc.title.none.fl_str_mv |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K Detecao de Bordas baseada em Morfologia Matemática Fuzzy Intervalar e as Funcoes de Agregacao K |
| title |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K |
| spellingShingle |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K Corbacho Carazas, Lisbeth Edge detection interval-valued fuzzy morphology gradient morphological Deteccao de bordas morfologia matemática fuzzy intervalar morfologia gradiente |
| title_short |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K |
| title_full |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K |
| title_fullStr |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K |
| title_full_unstemmed |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K |
| title_sort |
Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K |
| dc.creator.none.fl_str_mv |
Corbacho Carazas, Lisbeth Sussner, Peter |
| author |
Corbacho Carazas, Lisbeth |
| author_facet |
Corbacho Carazas, Lisbeth Sussner, Peter |
| author_role |
author |
| author2 |
Sussner, Peter |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Edge detection interval-valued fuzzy morphology gradient morphological Deteccao de bordas morfologia matemática fuzzy intervalar morfologia gradiente |
| topic |
Edge detection interval-valued fuzzy morphology gradient morphological Deteccao de bordas morfologia matemática fuzzy intervalar morfologia gradiente |
| description |
Edge detection is a digital image processing tool. It determines points in a digital image where light intensity suddenly changes. This process applies to a digital image which assumes some degree of uncertainty in the location and intensity of the pixel in the real image. In this work, we propose an edge detection model which consists in capturing this uncertainty in terms of interval images. Then we apply interval-valued fuzzy morphology to calculate the interval-valued erosion and dilation. Finally, we compute the convex combinations of the upper and lower bounds of the interval-valued erosion and dilation image, to obtain a morphological erosion and dilation respectively, and thus an edge image. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019-12-24 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631 |
| url |
https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631 |
| dc.language.none.fl_str_mv |
por spa |
| language |
por spa |
| dc.relation.none.fl_str_mv |
https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631/2650 https://revistas.unitru.edu.pe/index.php/SSMM/article/view/2631/2671 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2019 Selecciones Matemáticas info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2019 Selecciones Matemáticas |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf text/html |
| dc.publisher.none.fl_str_mv |
National University of Trujillo - Academic Department of Mathematics |
| publisher.none.fl_str_mv |
National University of Trujillo - Academic Department of Mathematics |
| dc.source.none.fl_str_mv |
Selecciones Matemáticas; Vol. 6 No. 02 (2019): August - December; 238-247 Selecciones Matemáticas; Vol. 6 Núm. 02 (2019): Agosto-Diciembre; 238-247 Selecciones Matemáticas; v. 6 n. 02 (2019): Agosto-Diciembre; 238-247 2411-1783 reponame:Revistas - Universidad Nacional de Trujillo instname:Universidad Nacional de Trujillo instacron:UNITRU |
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Universidad Nacional de Trujillo |
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UNITRU |
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UNITRU |
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Revistas - Universidad Nacional de Trujillo |
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Revistas - Universidad Nacional de Trujillo |
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13.210282 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
