Abstract
In this paper we present a control system by vision of hybrid circuit production. It concerns controlling the position of the circuit links and the quality of the solder joints. The control procedure consists of extracting the parameters characterising each type of circuit and comparing each circuit in relation to that of the prior known model. This system is integrated into the production line taking into account the constrained real time. These circuits are intended for industrial purposes, for professional equipment and the general public where the controls imposed are severe. This system therefore allows automatic control of electronic circuits performed manually up until this day.
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References
Chapron (1985) Contribution à l’inspection automatique par traitement d’images. Application au montage de circuits integrés et à la détection de fissures sur des ferrites, Thèse de docteur-ingenieur. Rapport LAAS n° 85/57.
K. Chehdi and Q.M. Liao (1991) A new approach to the improvement of texture modelisation, in International Symposium on Electronics and Information Sciences, Kobe, Japan, pp. 4.1-24.10.
K. Chehdi and D. Coquin (1991) Bianarisation of various images by detecting local thresholds with a validation test, in IEEE pacific Rim Conference on Communications Computer and Signal Processing, Victoria, Canada, pp. 611-614.
A. Chehikian (1989) Binarisation d’images: deux solutions à ce problèmes, Revue de Traitement du Signal, vol. 6, n° 1. pp. 59–67.
C.K. Chow and T. Kaneko (1971) Boundary detection of radiographic images by a threshold method, in Proceedings of the IFIP Congress, pp. 130-134.
A.M. Darwish and A.K. Jain (1988) A rule-based approach for visual pattern inspection, IEEE Transactions on Pattern Analysis and Machine Intelligence; vol. 10, n°l, pp. 56–68.
G. Fetecke, G.O. Eklundh and A. Rosenfeld (1981) Relaxation: evaluation and application, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, pp. 460–469.
R.M. Haralick and L.G. Shapiro (1986) Survey, image segmentation techniques, Computer Vision, Graphics, and Image Processing, vol. 29, pp. 100–132.
G. Johannsen and J. Bille (1983) A threshold selection method using information measures, in Proc. V.I. International Conference on Pattern Recognition, Munich.
J. Kittler and J. Illingworth (1985) On threshold selection using clustering criterion, IEEE Transactions on Systems, Man, Cybenetics, vol. 15, pp. 652–655.
Le Lièvre (1979) Processus d’acquisition et de traitement d’images en temps réel. Application à l’inspection automatique en matériau textile, Thèse de doctorat d’ingénieur, Université des sciences et techniques de Lille.
R. Maloigne-Fernandez, Croche (1988) Classification des défauts observés dans le bois par caméra, Traitement du Signal vol. 5, n° 1, pp. 41–48.
D.L. Milgram and D.J. Herman (1979) Clustering edge values for threshold selection, Computer Graphics, Vision, and Image Processing, vol. 10, pp. 272–280.
T. Pun (1980) A new method for gray-level picture thresholding using the entropy of histogram, Signal Processing, vol. 2, pp. 223–237.
A. Rosenfeld and R.C. Smith (1981) Thresholding using relaxation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, pp. 598–606.
P.K. Sahoo, S. Soltani and A.K.C. Wong (1988) A survey of thresholding techniques, Computer Vision, Graphics, and Image Processing, vol. 41, pp. 233–260.
J.M. White and G.D. Rohrer (1986) Image thresholding for optical character recognition and other applications requiring chracter image extraction, IBM J. Res. Development, 27, pp. 400–411.
A.Y. Wu, T.-H. Hong and A. Rosenfeld (1982) threshold selection using quadtrees, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 4, pp. 90–94.
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© 1996 Springer-Verlag Berlin Heidelberg
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Chehdi, K., Corazza, M. (1996). Automatic System of Quality Control by Vision of Hybrid Circuits. In: Sanz, J.L.C. (eds) Image Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58288-2_9
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DOI: https://doi.org/10.1007/978-3-642-58288-2_9
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