Automated real-time visual inspection system for high-resolution superimposed printings

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: Automated real-time visual inspection system for high-resolution superimposed printings
Authors: Torres, Fernando | Sebastián y Zúñiga, José María | Aracil Santonja, Rafael | Jiménez García, Luis Miguel | Reinoso García, Óscar
Research Group/s: Automática, Robótica y Visión Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad Politécnica de Madrid. División de Ingeniería de Sistemas y Automática
Keywords: Automated | Inspection | Printings | Real-time
Knowledge Area: Ingeniería de Sistemas y Automática
Date Created: 1997
Issue Date: 24-Aug-1998
Publisher: Elsevier
Citation: TORRES MEDINA, Fernando, et al. “Automated real-time visual inspection system for high-resolution superimposed printings”. Image and Vision Computing. Vol. 16, Issues 12-13 (24 Aug. 1998). ISSN 0262-8856, pp. 947-958
Abstract: This paper describes an automatic real-time inspection system of printed products. This system has been applied to the inspection of objects having superimposed printings with different reference systems at high resolution, that is, there are not two identical products. The automation of this process is particularly critical and its solution is highly complex. The techniques employed are based on a combination of various disciplines, allowing a compromise between resolution and processing speed. In this way, disciplines such as morphological processing, subpixel accuracy, scheduling techniques, parallel processing, etc. are incorporated.
ISSN: 0262-8856
DOI: 10.1016/S0262-8856(98)00059-6
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
Publisher version:
Appears in Collections:INV - AUROVA - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
ThumbnailAutomated real-time.pdfVersión final (acceso restringido)1,39 MBAdobe PDFOpen    Request a copy

Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.