Treffer: Vision systems for the inspection of resistance welding joints

Title:
Vision systems for the inspection of resistance welding joints
Authors:
HILDEBRAND, L, FATHI, M
Source:
Human vision and electronic imaging V (San Jose CA, 24-27 January 2000)SPIE proceedings series. 3959:314-322
Publisher Information:
Bellingham WA: SPIE, 2000.
Publication Year:
2000
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Biomedical engineering, Génie biomédical, Optics, Optique, Physics, Physique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Metaux. Metallurgie, Metals. Metallurgy, Assemblage et découpage thermique: aspects métallurgiques, Joining, thermal cutting: metallurgical aspects, Soudage, Welding, Analyse image, Image analysis, Análisis imagen, Brillance, Brightness, Brillantez, Contrôle qualité, Quality control, Control calidad, Qualitaetskontrolle, Effet contraste, Contrast effect, Efecto contraste, Image couleur, Color image, Imagen color, Logique floue, Fuzzy logic, Lógica difusa, Résistance mécanique, Strength, Resistencia mecánica, Festigkeit, Soudage par points, Spot welding, Soldadura punto, Système automatique, Automatic system, Sistema automático, Système expert, Expert system, Sistema experto, Expertensystem, Traitement informatique, Computerized processing, Tratamiento informático
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
University of Dortmund, Department of Computer Science I, 44221 Dortmund, Germany
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=1384979
Rights:
Copyright 2000 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Metals. Metallurgy

FRANCIS
Accession Number:
edscal.1384979
Database:
PASCAL Archive

Weitere Informationen

Many automated quality inspection systems make use of brightness and contrast features of the objects being inspected. This reduces the complexity of the problem solving methods, as well as the demand for computational capacity. Nevertheless a lot of significant information is located in color features of the objects. This paper describes a method, that allows the evaluation of color information in a very compact and efficient way. The described method uses a combination of multi-valued logic and a special color model. We use fuzzy logic as multi-valued logic, and the HSI color model, but any multi-valued logic, that allows rule-based reasoning can be used. The HSI color model can also be exchanged with other color models, if special demands require this.