Bereciartua-Pérez, Arantza; Gutiérrez-Olabarria, Jose A; Picón-Ruiz, Artzai; MARTÍNEZ, ALFONSO MAESTRO Surface inspection of polyurethane foam by image processing and artificial neural networks techniques. (Artículo de revista) WSEAS Transactions on Circuits and Systems, 3 (10), pp. 2122–2127, 2004. @article{bereciartua2004surface, title = {Surface inspection of polyurethane foam by image processing and artificial neural networks techniques.}, author = {Arantza Bereciartua-Pérez and Jose A. Gutiérrez-Olabarria and Artzai Picón-Ruiz and ALFONSO MAESTRO MARTÍNEZ}, url = {https://computervision.tecnalia.com/wp-content/uploads/2012/12/2004_-Surface-Inspection-of-polyurethane-foam-by-image-processing-and-Artificial-Neural-Networks-Techniques-.pdf}, year = {2004}, date = {2004-01-01}, journal = {WSEAS Transactions on Circuits and Systems}, volume = {3}, number = {10}, pages = {2122--2127}, abstract = {Quality assurance is a necessity in the industrial processes. The machine vision technology is an efficient technology for the reliable and fast control of different types of products. This technology allows obtaining a big amount of visual information, superficial and dimensional at a high speed. The objective of this article is to describe a successful application of machine vision technology in a Foam production, a productive sector where this technology is scarcely inserted. The aim of this project is to obtain on-line visual parameters of the process in order to modify the variables of production immediately in an automated way. Those parameters were obtained off-line by means of human visual inspection two days later in a laboratory analysis before this project. The difficulty lies in the fact that visual characteristics of both samples (on-line and off-line) are very different. Surface inspection of polyurethane foam by image processing and artificial neural networks techniques | Request PDF. Available from: https://www.researchgate.net/publication/261858641_Surface_inspection_of_polyurethane_foam_by_image_processing_and_artificial_neural_networks_techniques [accessed Jul 20 2018].}, keywords = {}, pubstate = {published}, tppubtype = {article} } Quality assurance is a necessity in the industrial processes. The machine vision technology is an efficient technology for the reliable and fast control of different types of products. This technology allows obtaining a big amount of visual information, superficial and dimensional at a high speed. The objective of this article is to describe a successful application of machine vision technology in a Foam production, a productive sector where this technology is scarcely inserted. The aim of this project is to obtain on-line visual parameters of the process in order to modify the variables of production immediately in an automated way. Those parameters were obtained off-line by means of human visual inspection two days later in a laboratory analysis before this project. The difficulty lies in the fact that visual characteristics of both samples (on-line and off-line) are very different. Surface inspection of polyurethane foam by image processing and artificial neural networks techniques | Request PDF. Available from: https://www.researchgate.net/publication/261858641_Surface_inspection_of_polyurethane_foam_by_image_processing_and_artificial_neural_networks_techniques [accessed Jul 20 2018]. |
2004 |
Bereciartua-Pérez, Arantza; Gutiérrez-Olabarria, Jose A; Picón-Ruiz, Artzai; MARTÍNEZ, ALFONSO MAESTRO Surface inspection of polyurethane foam by image processing and artificial neural networks techniques. (Artículo de revista) WSEAS Transactions on Circuits and Systems, 3 (10), pp. 2122–2127, 2004. (Resumen | Enlaces | BibTeX | Etiquetas: darkfield, foam, machine vision, neural network, pore, quality control, surface control) @article{bereciartua2004surface, title = {Surface inspection of polyurethane foam by image processing and artificial neural networks techniques.}, author = {Arantza Bereciartua-Pérez and Jose A. Gutiérrez-Olabarria and Artzai Picón-Ruiz and ALFONSO MAESTRO MARTÍNEZ}, url = {https://computervision.tecnalia.com/wp-content/uploads/2012/12/2004_-Surface-Inspection-of-polyurethane-foam-by-image-processing-and-Artificial-Neural-Networks-Techniques-.pdf}, year = {2004}, date = {2004-01-01}, journal = {WSEAS Transactions on Circuits and Systems}, volume = {3}, number = {10}, pages = {2122--2127}, abstract = {Quality assurance is a necessity in the industrial processes. The machine vision technology is an efficient technology for the reliable and fast control of different types of products. This technology allows obtaining a big amount of visual information, superficial and dimensional at a high speed. The objective of this article is to describe a successful application of machine vision technology in a Foam production, a productive sector where this technology is scarcely inserted. The aim of this project is to obtain on-line visual parameters of the process in order to modify the variables of production immediately in an automated way. Those parameters were obtained off-line by means of human visual inspection two days later in a laboratory analysis before this project. The difficulty lies in the fact that visual characteristics of both samples (on-line and off-line) are very different. Surface inspection of polyurethane foam by image processing and artificial neural networks techniques | Request PDF. Available from: https://www.researchgate.net/publication/261858641_Surface_inspection_of_polyurethane_foam_by_image_processing_and_artificial_neural_networks_techniques [accessed Jul 20 2018].}, keywords = {darkfield, foam, machine vision, neural network, pore, quality control, surface control}, pubstate = {published}, tppubtype = {article} } Quality assurance is a necessity in the industrial processes. The machine vision technology is an efficient technology for the reliable and fast control of different types of products. This technology allows obtaining a big amount of visual information, superficial and dimensional at a high speed. The objective of this article is to describe a successful application of machine vision technology in a Foam production, a productive sector where this technology is scarcely inserted. The aim of this project is to obtain on-line visual parameters of the process in order to modify the variables of production immediately in an automated way. Those parameters were obtained off-line by means of human visual inspection two days later in a laboratory analysis before this project. The difficulty lies in the fact that visual characteristics of both samples (on-line and off-line) are very different. Surface inspection of polyurethane foam by image processing and artificial neural networks techniques | Request PDF. Available from: https://www.researchgate.net/publication/261858641_Surface_inspection_of_polyurethane_foam_by_image_processing_and_artificial_neural_networks_techniques [accessed Jul 20 2018]. |