用于钢材缺陷的检测预警方法及系统

本发明提供了用于钢材缺陷的检测预警方法及系统,涉及图像处理技术领域,调用目标监测记录并逐工艺节点分割,确定节点监测图像集,搭建缺陷检测模型,基于节点监测图像集提取待检源数据,输入所述缺陷检测模型中,获取缺陷识别集,缺陷告警信息为附加输出信息,对缺陷识别集进行复修评估,生成缺陷评估列表,将缺陷评估列表作为缺陷检测结果,解决现有技术中存在的对于钢材缺陷的检测准确度与完备性不足,较之钢材实际状态存在偏差的技术问题,针对多个检测维度分别构建检测双通道,分割生产检测图像并逐节点进行处理通道匹配检测,保障检测严谨度,最大限度提高缺陷检测的准确度与完备性。 The invention provides a...

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Format Patent
LanguageChinese
Published 27.10.2023
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Summary:本发明提供了用于钢材缺陷的检测预警方法及系统,涉及图像处理技术领域,调用目标监测记录并逐工艺节点分割,确定节点监测图像集,搭建缺陷检测模型,基于节点监测图像集提取待检源数据,输入所述缺陷检测模型中,获取缺陷识别集,缺陷告警信息为附加输出信息,对缺陷识别集进行复修评估,生成缺陷评估列表,将缺陷评估列表作为缺陷检测结果,解决现有技术中存在的对于钢材缺陷的检测准确度与完备性不足,较之钢材实际状态存在偏差的技术问题,针对多个检测维度分别构建检测双通道,分割生产检测图像并逐节点进行处理通道匹配检测,保障检测严谨度,最大限度提高缺陷检测的准确度与完备性。 The invention provides a detection and early warning method and system for steel defects, and relates to the technical field of image processing, and the method comprises the steps: calling a target monitoring record, segmenting process nodes one by one, determining a node monitoring image set, building a defect detection model, extracting to-be-detected source data based on the node monitoring image set, inputting the to-be-detected source data into the defect detection model, and obtaining a defect recognition set; the defect alarm information is additional output information, performing rerepair evaluation on the defect identification set, generating a defect evaluation list, and taking the defect evaluation list as a defect detection r
Bibliography:Application Number: CN202310786339