Abstract
We present a system for a visual control of ready-made food based on image processing algorithms. Pictures are taken with a CCD camera and a frame-grabber at a rate of one per second. In the first processing level the relevant information is extracted via a recursive spht- and-merge algorithm. Prototypes are apphed to the obtained clusters to get probabihty values for each ingredient. In a final decision stage connected objects belonging to the same prototype are compared to get an optimal global classification. A teach-in-module allows an interactive generation of all parameters.
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References
S. L. Horowitz and T. Pavhdis, Picture Segmentation by a Directed Spht-and-Merge Procedure, Proceedings of the 2nd International Joint Conference on Pattern Recognition, pp. 424–433, 1974
A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, 1992
R. C. Gonzales and R. E. Woods Digital Image Procession Addison Wesley, 1993
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© 1995 Springer-Verlag Berlin Heidelberg
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Steckemetz, B. (1995). Quality Control of Ready-made Food. In: Sagerer, G., Posch, S., Kummert, F. (eds) Mustererkennung 1995. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79980-8_18
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DOI: https://doi.org/10.1007/978-3-642-79980-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60293-4
Online ISBN: 978-3-642-79980-8
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