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基于深度学习的焊缝X射线图像缺陷识别模型

Xu Jiawei, Yang Liang,Hao Sijia

scientific and technological innovationInformation（2023）

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Abstract
基于Weld-SSD算法模型和Weld-RCNN算法模型,进行焊缝图像缺陷识别算法优化,设计并实现了基于Anchor-based的Weld-RCNN算法,缺陷检测性能召回率达到84.6％,精准率70.2％.建立焊缝X射线图像缺陷识别模型并测试验证该模型的准确性.测试结果表明,算法模型在测试中表现良好,为解决焊缝X射线缺陷检测问题提供新的思路与方法.
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Key words
deep learning,weld seam,radiographic test,defect,model
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