A computer vision system for coffee beans classification based on computational intelligence techniques
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- 作者：Emanuelle Morais de Oliveiraa ; Dimas Samid Lemeb ; Bruno Henrique Groenner Barbosab ; brunohb@deg.ufla.br" class="auth_mail" title="E-mail the corresponding author ; Mirian Pereira Rodartec ; Rosemary Gualberto Fonseca Alvarenga Pereiraa
- 关键词：Coffee bean ; Computer vision system ; Bayes classifier ; Artificial neural networks ; Pattern recognition
- 刊名：Journal of Food Engineering
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：171
- 期：Complete
- 页码：22-27
- 全文大小：1074 K
文摘
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Computer vision system was implemented to classify coffee beans using CIELAB space.
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Transformation model (RGB to CIELAB) was performed using three Neural Networks.
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Coffee beans were classified into groups defined by the Naive Bayesian classifier.
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Classification accuracy of 100% was found using different training/validation sets.
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Higher values of L*, a* and b* were found in poor quality coffee beans.