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基于YOLO模型的小麦外观分类算法研究 被引量:1
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作者 徐佳鹏 张朝晖 +5 位作者 李智 左增杨 赖新亮 赵小燕 张天尧 尹玉国 《自动化仪表》 CAS 2023年第3期83-87,共5页
小麦种植广泛且营养丰富,其品质问题需要重点关注。小麦品质的衡量指标主要是不完善粒占比。为此,需要对小麦颗粒进行分类识别。提出了1种基于你只看一次(YOLO)模型的小麦外观自动分类算法,创新性地将YOLO模型应用于小麦外观分类场景。... 小麦种植广泛且营养丰富,其品质问题需要重点关注。小麦品质的衡量指标主要是不完善粒占比。为此,需要对小麦颗粒进行分类识别。提出了1种基于你只看一次(YOLO)模型的小麦外观自动分类算法,创新性地将YOLO模型应用于小麦外观分类场景。对采集得到的小麦样本图像切割、筛选、扩充和标记,构建了完善粒与不完善粒图像库。对YOLO网络进行了训练,利用训练后的模型对麦粒图像进行了测试,实现了完善粒、不完善粒分别为91.7%、87.1%的分类准确率。这种自动分拣麦粒的检验方法避免了人工视觉疲劳后的误判,而且检测效率显著提高,为小麦外观分类研究提供了新的思路。 展开更多
关键词 小麦 不完善粒 外观分类 图像检测 图像识别 深度学习 你只看一次模型 卷积神经网络
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Determining the Boundary of Molten Electrolyte and Aluminum in Electrolytic Cells by Detecting Their Vertical Distribution of Potential
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作者 CHANG Liming ZHANG Zhaohui +4 位作者 ZHAO Xiaoyan BIAN Xinxiao zuo zengyang LU Hui LAO Dabao 《Instrumentation》 2022年第3期59-64,共6页
Aluminum production is a high energy consumption process so that maintaining fundamental compositions in balance and optimal conditions are essential.The molten electrolyte and melted aluminum are primary materials an... Aluminum production is a high energy consumption process so that maintaining fundamental compositions in balance and optimal conditions are essential.The molten electrolyte and melted aluminum are primary materials and their boundary needs to be monitored from time to time.An automatic measurement technic is presented in the paper to substitute for the traditional manual measurement work that is dull,poor efficiency and dangerous for operators.The boundary forming mechanism is analyzed,the vertical profile of electric potential is simulated,an automatic instrument is developed to sense the potential distribution,and a strategy is provided to identify the boundary according to the potential curves.Finally,some practical results are compared with manual measurements,which shows good consistency. 展开更多
关键词 Aluminum Electrolytic Cell Boundary of Molten Materials Electric Potential Distribution Measurement Online
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