10 February 2006 Chocolate pop inspection and selection in situ using cross correlation
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Proceedings Volume 6046, Fifth Symposium Optics in Industry; 60461C (2006); doi: 10.1117/12.674541
Event: Fifth Symposium Optics in Industry, 2005, Santiago De Queretaro, Mexico
Abstract
We present an in situ image recognition system in order to inspect the standards of quality of chocolate pops during their production. In high percent, the stick of pops is not settling in the right position and it is our predictable quality problem. The recognition system compares a reference image with the image of chocolate pop under test, in order to determine if this pop has the stick in right position. As result of this work, we obtain the parameters that can help to determine which pops meet the standards of quality.
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José Jorge Hernández Constante, Jorge L. Flores, Rubén Ruelas Lepe, G. García-Torales, Alejandro González Álvarez, "Chocolate pop inspection and selection in situ using cross correlation", Proc. SPIE 6046, Fifth Symposium Optics in Industry, 60461C (10 February 2006); doi: 10.1117/12.674541; https://doi.org/10.1117/12.674541
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KEYWORDS
Binary data

Image quality

Inspection

Image processing

3D image processing

Image segmentation

Algorithm development

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