Machine Vision Based Granular Raw Material Adulteration Identification in Baijiu Brewing-Reference-Cited by-同舟云学术

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Machine Vision Based Granular Raw Material Adulteration Identification in Baijiu Brewing

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Imaging Systems and Techniques (IST)
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Author:

Yang Shanglin¹,Lin Yang²,Li Yong³,Zhang Suyi³,Peng Lihui⁴,Xu Defu³

Affiliation:

1. Tsinghua University,Department of Automation,Beijing,China

2. LuZhou LaoJiao Co.Ltd.,Luzhou,China

3. LuZhou LaoJiao Co.Ltd. Tsinghua University-LuZhou LaoJiao Joint Research Center for Intelligent Detection,Luzhou,China

4. Tsinghua University-LuZhou LaoJiao Joint Research Center for Intelligent Detection Tsinghua University,Department of Automation,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9827659/9827662/09827757.pdf?arnumber=9827757

Reference15 articles.

1. The Colour Image Processing Handbook

2. Expert system based on computer vision to estimate the content of impurities in olive oil samples

3. Measurement of particle shape using digital imaging techniques

4. LIBSVM

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Event-Based Weak Oil Impurity Detection;IEEE Access;2024

2. Deep Neural Network-Based Sorghum Adulteration Detection in Baijiu Brewing;IEEE Open Journal of Instrumentation and Measurement;2022

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