Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/94917
標題: Development of Novel Autoclassifying System Based on Machine Vision
作者: Kuo-Yi Huang
Ya-Ting Tu
關鍵字: peaberry
flat bean
classification
摘要: In this paper, we present a novel machine-vision-based autoclassifying system for peaberry (PB) and flat beans (FB) of coffee. The system comprises an inlet–outlet mechanism, machinevision hardware and software, and a control system for classifying coffee. The proposed method can estimate the shape features of coffee beans, provided as input neurons of neural networks, and accordingly classify coffee beans as PB and FB. Experiments yielded classification accuracy levels of 96.97 and 95.22% for PB and FB, respectively, indicating that PB and FB can be classified efficiently using the proposed system.
URI: http://hdl.handle.net/11455/94917
Appears in Collections:生物產業機電工程學系

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