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ORCID: https://orcid.org/0000-0002-3004-1490, Platero Dueñas, Carlos
ORCID: https://orcid.org/0000-0003-3712-8297, Álvarez, Patrick, Campoy Cervera, Pascual
ORCID: https://orcid.org/0000-0002-9894-2009 and Aracil Santonja, Rafael
ORCID: https://orcid.org/0000-0002-2988-057X
(1994).
On-line visual inspection of continuous cast metallic strip surface.
En: "17th meeting of the Austrian Association for pattern recognition on Image analysis and synthesis", 2/06/1993 - 4/06/1993, Graz, Austria. ISBN 978-3-85403-068-3. pp. 92-102.
| Título: | On-line visual inspection of continuous cast metallic strip surface |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 17th meeting of the Austrian Association for pattern recognition on Image analysis and synthesis |
| Fechas del Evento: | 2/06/1993 - 4/06/1993 |
| Lugar del Evento: | Graz, Austria |
| Título del Libro: | Proceedings of the 17th meeting of the Austrian Association for pattern recognition on Image analysis and synthesis |
| Fecha: | 1 Julio 1994 |
| ISBN: | 978-3-85403-068-3 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Visual automated inspection |
| Escuela: | E.T.S.I. Diseño Industrial (UPM) |
| Departamento: | Ingeniería Eléctrica, Electrónica Automática y Física Aplicada |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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A visual inspection system architecture for detecting and analyzing surface defects in continuous cast metallic strip is described. Real-time performance requirements has forced up the development of a high-parallel architecture for high-speed image processing. Matricial cameras are used for image
acquisition instead of linear ones because of the surface appearance. Inspection is achieved with Imm² resolution. Similarity-based algorithms as well as texture algorithms have been developed and hardware-implemented for defect detection in a high-textured surface where, for the most of defects, segmentation can not be achieved by only means of threshold techniques. The system has been applied
to continuous cast aluminum inspection, where up to fifteen different kinds of defects must be detected and classified.
| ID de Registro: | 95599 |
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| Identificador DC: | https://oa.upm.es/95599/ |
| Identificador OAI: | oai:oa.upm.es:95599 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10486789 |
| URL Oficial: | https://dl.acm.org/doi/abs/10.5555/190823.190843 |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 20 Abr 2026 07:18 |
| Ultima Modificación: | 21 Abr 2026 11:15 |
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