Region-Based Hough-Inversion Transform for Circles
- Autores
- Destéfanis, Eduardo A.; Canali, Luis R.; Steiner, Guillermo M.
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- The Hough Transform is a robust algorithm, intended to detect lines, circles or even more complex shapes within an image. A weakness of the algorithm is that it requires an important processing time, in particular if the shape to be detected is not a straight line. In many practical applications this constraint could not be acceptable. A solution to this problem has been called the Fast Hough Transform (FHT) -[8] and [5]. The FHT approaches addresses the problem using specialized parallel hardware. Instead of this, this paper proposes an algorithmic approach for circle detection, which yields an acceptable processing time, without the need of any specialized hardware. To reach this goal the inversion transform [2] is used.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
Hough Transform
Circle Detection
Inversion Transform - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/185214
Ver los metadatos del registro completo
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Region-Based Hough-Inversion Transform for CirclesDestéfanis, Eduardo A.Canali, Luis R.Steiner, Guillermo M.Ciencias InformáticasHough TransformCircle DetectionInversion TransformThe Hough Transform is a robust algorithm, intended to detect lines, circles or even more complex shapes within an image. A weakness of the algorithm is that it requires an important processing time, in particular if the shape to be detected is not a straight line. In many practical applications this constraint could not be acceptable. A solution to this problem has been called the Fast Hough Transform (FHT) -[8] and [5]. The FHT approaches addresses the problem using specialized parallel hardware. Instead of this, this paper proposes an algorithmic approach for circle detection, which yields an acceptable processing time, without the need of any specialized hardware. To reach this goal the inversion transform [2] is used.Sociedad Argentina de Informática e Investigación Operativa2003-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/185214enginfo:eu-repo/semantics/altIdentifier/issn/1666-1079info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-29T15:55:43Zoai:sedici.unlp.edu.ar:10915/185214Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-29 15:55:43.818SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Region-Based Hough-Inversion Transform for Circles |
| title |
Region-Based Hough-Inversion Transform for Circles |
| spellingShingle |
Region-Based Hough-Inversion Transform for Circles Destéfanis, Eduardo A. Ciencias Informáticas Hough Transform Circle Detection Inversion Transform |
| title_short |
Region-Based Hough-Inversion Transform for Circles |
| title_full |
Region-Based Hough-Inversion Transform for Circles |
| title_fullStr |
Region-Based Hough-Inversion Transform for Circles |
| title_full_unstemmed |
Region-Based Hough-Inversion Transform for Circles |
| title_sort |
Region-Based Hough-Inversion Transform for Circles |
| dc.creator.none.fl_str_mv |
Destéfanis, Eduardo A. Canali, Luis R. Steiner, Guillermo M. |
| author |
Destéfanis, Eduardo A. |
| author_facet |
Destéfanis, Eduardo A. Canali, Luis R. Steiner, Guillermo M. |
| author_role |
author |
| author2 |
Canali, Luis R. Steiner, Guillermo M. |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Hough Transform Circle Detection Inversion Transform |
| topic |
Ciencias Informáticas Hough Transform Circle Detection Inversion Transform |
| dc.description.none.fl_txt_mv |
The Hough Transform is a robust algorithm, intended to detect lines, circles or even more complex shapes within an image. A weakness of the algorithm is that it requires an important processing time, in particular if the shape to be detected is not a straight line. In many practical applications this constraint could not be acceptable. A solution to this problem has been called the Fast Hough Transform (FHT) -[8] and [5]. The FHT approaches addresses the problem using specialized parallel hardware. Instead of this, this paper proposes an algorithmic approach for circle detection, which yields an acceptable processing time, without the need of any specialized hardware. To reach this goal the inversion transform [2] is used. Sociedad Argentina de Informática e Investigación Operativa |
| description |
The Hough Transform is a robust algorithm, intended to detect lines, circles or even more complex shapes within an image. A weakness of the algorithm is that it requires an important processing time, in particular if the shape to be detected is not a straight line. In many practical applications this constraint could not be acceptable. A solution to this problem has been called the Fast Hough Transform (FHT) -[8] and [5]. The FHT approaches addresses the problem using specialized parallel hardware. Instead of this, this paper proposes an algorithmic approach for circle detection, which yields an acceptable processing time, without the need of any specialized hardware. To reach this goal the inversion transform [2] is used. |
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2003 |
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2003-09 |
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