Localization and fuzzy classification of manufacturing defects in sheets of glass.

Junco Navascués, Luis, and Sánchez, Luciano. "Localization and fuzzy classification of manufacturing defects in sheets of glass.." Mathware and Soft Computing 5.2-3 (1998): 213-221. <http://eudml.org/doc/39136>.

@article{JuncoNavascués1998,
abstract = {Artificial Vision Systems are commonly used in industrial applications. The low cost of the equipment facilitates the development of new products. In this paper we describe the use of an artificial vision system in one of the phases of a quality control process related to automotive industries: the windshield manufacturing. We intend to localize and classify the defects that were originated while manufacturing the glass that forms the windshield. We will show that a fuzzy classifier, after being tuned with a genetic parameter adjustement procedure, outperforms a neural networks based classifier.},
author = {Junco Navascués, Luis, Sánchez, Luciano},
journal = {Mathware and Soft Computing},
keywords = {Lógica difusa; Visión artificial; Control de calidad; Vidrio plano; Parabrisas; Industria del automóvil; artificial vision systems; windshield manufacturing},
language = {eng},
number = {2-3},
pages = {213-221},
title = {Localization and fuzzy classification of manufacturing defects in sheets of glass.},
url = {http://eudml.org/doc/39136},
volume = {5},
year = {1998},
}

TY - JOUR
AU - Junco Navascués, Luis
AU - Sánchez, Luciano
TI - Localization and fuzzy classification of manufacturing defects in sheets of glass.
JO - Mathware and Soft Computing
PY - 1998
VL - 5
IS - 2-3
SP - 213
EP - 221
AB - Artificial Vision Systems are commonly used in industrial applications. The low cost of the equipment facilitates the development of new products. In this paper we describe the use of an artificial vision system in one of the phases of a quality control process related to automotive industries: the windshield manufacturing. We intend to localize and classify the defects that were originated while manufacturing the glass that forms the windshield. We will show that a fuzzy classifier, after being tuned with a genetic parameter adjustement procedure, outperforms a neural networks based classifier.
LA - eng
KW - Lógica difusa; Visión artificial; Control de calidad; Vidrio plano; Parabrisas; Industria del automóvil; artificial vision systems; windshield manufacturing
UR - http://eudml.org/doc/39136
ER -