基于机器视觉和机器学习技术的浙贝母外观品质等级区分
Classification of Fritillaria thunbergii appearance quality based on machine vision and machine learning technology
基于机器视觉和机器学习技术的浙贝母外观品质等级区分 |
| 董成烨,李东方,冯槐区,龙思放,奚特,周芩安,王俊 |
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Classification of Fritillaria thunbergii appearance quality based on machine vision and machine learning technology |
| Chengye DONG,Dongfang LI,Huaiqu FENG,Sifang LONG,Te XI,Qin’an ZHOU,Jun WANG |
| 图1 数据集部分图像（A1～A6 ）及图像采集设备（B）A1～A6.依次为特级、一级、二级、霉变、虫蛀、破碎浙贝母。 |
| Fig. 1 Partial images of data sets (A1-A6) and image acquisition equipments (B)A1-A6. Superfine, level one, level two, mildewed, moth-eaten, and broken F. thunbergii, respectively. |
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