首页> 外国专利> LEARNED MODEL GENERATION METHOD, LEARNED MODEL, SURFACE DEFECT INSPECTION METHOD, STEEL MANUFACTURING METHOD, PASS/FAIL DETERMINATION METHOD, GRADE DETERMINATION METHOD, SURFACE DEFECT DETERMINATION PROGRAM, PASS/FAIL DETERMINATION PROGRAM, DETERMINATION SYSTEM, AND STEEL MANUFACTURING EQUIPMENT

LEARNED MODEL GENERATION METHOD, LEARNED MODEL, SURFACE DEFECT INSPECTION METHOD, STEEL MANUFACTURING METHOD, PASS/FAIL DETERMINATION METHOD, GRADE DETERMINATION METHOD, SURFACE DEFECT DETERMINATION PROGRAM, PASS/FAIL DETERMINATION PROGRAM, DETERMINATION SYSTEM, AND STEEL MANUFACTURING EQUIPMENT

机译:学习模型生成方法,学习模型,表面缺陷检查方法,钢制造方法,通过/失败确定方法,等级确定方法,表面缺陷确定程序,通过/失败确定程序,确定系统和钢板制造

摘要

In this learned model generation method, teacher images that include defect maps that are images indicating the distribution of defect parts on a steel surface and have a common image size and information about the presence or absence of periodic defects added to the defect maps in advance are used to generate, through machine learning, a learned model taking, as input values, a defect map that is an image indicating the distribution of defect parts on a steel surface and has the common image size and producing, as output values, values relating to the presence or absence of periodic defects in the defect map.
机译:在这种学习的模型生成方法中,包括缺陷图的教师图像是缺陷图,该缺陷图是指示钢表面上缺陷部位的分布并且具有共同图像尺寸的图像,并且是关于预先添加到缺陷图上的是否存在周期性缺陷的信息。用于通过机器学习生成学习模型,该模型以缺陷图作为输入值,该缺陷图是表示钢表面缺陷部位分布的图像,具有共同的图像尺寸,并生成与以下内容有关的值作为输出值:缺陷图中是否存在周期性缺陷。

著录项

  • 公开/公告号WO2020137151A1

    专利类型

  • 公开/公告日2020-07-02

    原文格式PDF

  • 申请/专利权人 JFE STEEL CORPORATION;

    申请/专利号WO2019JP42848

  • 发明设计人 KOSHIHARA TAKAHIRO;ONO HIROAKI;

    申请日2019-10-31

  • 分类号G01N21/892;G06T7;G06N20;G06T1;

  • 国家 WO

  • 入库时间 2022-08-21 11:10:26

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号