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一种基于深度学习的钢卷带头检测方法分析

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阐述基于传统图像处理和深度学习算法的特点,介绍基于深度学习方法的深度卷积神经网络能够准确、快速地进行钢卷带头识别.实验表明,基于深度学习的钢卷带头检测方法有较高的识别准确率.
Analysis of a Detection Algorithm of Steel Coil Head Based on Deep Learning
This paper describes the characteristics of traditional image processing and deep learning algorithms,and introduces that deep convolutional neural networks based on deep learning methods can accurately and quickly recognize steel coil heads.The experiment shows that the steel coil head detection method based on deep learning has a high recognition accuracy.

deep learningcomputer visionimage processingsteel coil recognition

马怡哲、毛敏、陈硕、童立靖

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北方工业大学信息学院,北京 100144

深度学习 计算机视觉 图像处理 钢卷带头识别

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(11)