Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/2816970E-E37F-40EB-8086-ADB4FE55C026 | - |
| Αναγνωριστικό | https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2004-96.pdf | - |
| Γλώσσα | en | - |
| Μέγεθος | 6 pages | en |
| Τίτλος | Reduced dimensionality space for post placement quality inspection of components based on neural networks. | en |
| Δημιουργός | Zervakis Michalis | en |
| Δημιουργός | Ζερβακης Μιχαλης | el |
| Δημιουργός | Stefanos K. Goumas | en |
| Δημιουργός | George Rovithakis | en |
| Περίληψη | The emergence of surface mount technology devices has resulted in several important advantages including increased component density and size reduction on the printed circuit board, on the expense of quality inspection. Classical visual inspection techniques require time-consuming image processing to improve the accuracy of the inspected results. In this paper we reduce the computational complexity of classical machine vision approaches by proposing two neural network based techniques. In the first we maintain image information only in the form of edges, whereas the second we preserve the entire content of info but compressed in a single dimension through image projections. Both algorithms are tested on real industrial data. The quality of inspection is preserved while reducing the computational time. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-25 | - |
| Ημερομηνία Δημοσίευσης | 2004 | - |
| Θεματική Κατηγορία | Applied mechanics | en |
| Θεματική Κατηγορία | Engineering, Mechanical | en |
| Θεματική Κατηγορία | mechanics applied | en |
| Θεματική Κατηγορία | applied mechanics | en |
| Θεματική Κατηγορία | engineering mechanical | en |
| Βιβλιογραφική Αναφορά | S. Goumas, M.E. Zervakis, G.A. Rovithakis .(2004).Reduced dimensionality space for post placement quality inspection of components based on neural networks.Presented at European Symposium on Artificial Neural Networks.[online].Available:https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2004-96.pdf | en |
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