| 基于卷积神经网络的白酒酒花分类研究 |
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| 引用本文： | 潘斌,韩强,姚娅川. 基于卷积神经网络的白酒酒花分类研究[J]. 食品与机械, 2021, 37(10): 30-37 |
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| 作者姓名： | 潘斌 韩强 姚娅川 |
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| 作者单位： | 四川轻化工大学自动化与信息工程学院，四川 自贡 643000；人工智能四川省重点实验室，四川 自贡 643000;四川轻化工大学物理与电子工程学院，四川 自贡 643000 |
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| 基金项目： | 四川省科技厅项目（编号：2021YFS0339）；四川省重大科技专项项目（编号：2018GZDZX0045） |
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| 摘 要： | 目的：实现白酒酒花自动分类，提高摘酒的实时性与稳定性。方法：提出以机器视觉结合卷积神经网络代替人眼进行摘酒的方法，并与多种图像分类方法进行比较，验证改进分类算法的优越性。结果：基于改进Vgg16卷积神经网络+迁移学习方法分类模型准确率高达96.69%。结论：该方法能够实时稳定地对白酒酒花进行分类。
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| 关 键 词： | 白酒；酒花；机器视觉；图像分类；卷积神经网络 |
| 收稿时间： | 2021-02-05 |
Research on classification of liquor hops based on convolution neural network |
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| PANBin,HANQiang,YAOYachuan. Research on classification of liquor hops based on convolution neural network[J]. Food and Machinery, 2021, 37(10): 30-37 |
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| Authors: | PANBin HANQiang YAOYachuan |
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| Affiliation: | School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan 643000, China; Sichuan Key Laboratory of Artificial Intelligence, Sichuan University of Science & Engineering, Zigong, Sichuan 643000, China; School of Physics and Electrical Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan 643000, China |
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| Abstract: | Objective: This study focuses on realizing the automatic classification of liquor flowers and then improving the real-time and stability of liquor picking. Methods: The machine vision combined with convolutional neural network was used to replace human eyes for liquor picking. Comparing with many image classification methods, the superiority of the improved algorithm was verified. Results: The results showed that the classification accuracy of the model based on the improved Vgg16 convolutional neural network plus transferring-learning method was up to 96.69%. Conclusion: This method can be used in the real-time classification of Baijiu hops stably. |
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| Keywords: | baijiu hops machine vision image classification convolution neural network |
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