Statistical pattern recognition classification with computer vision images for assessing the furan content of fried dough pieces

Statistical pattern recognition classification with computer vision images for assessing the... •Color images were used to classify the furan content of fried doughs.•Pattern recognition was used to build models based on classification algorithms.•Sequential forward selection was implemented to select features and improve models.•Linear discriminant analysis and support vector machine showed the best results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Food Chemistry Elsevier

Statistical pattern recognition classification with computer vision images for assessing the furan content of fried dough pieces

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0308-8146
D.O.I.
10.1016/j.foodchem.2017.06.095
Publisher site
See Article on Publisher Site

Abstract

•Color images were used to classify the furan content of fried doughs.•Pattern recognition was used to build models based on classification algorithms.•Sequential forward selection was implemented to select features and improve models.•Linear discriminant analysis and support vector machine showed the best results.

Journal

Food ChemistryElsevier

Published: Jan 15, 2018

References

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