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,表面缺陷检测方法,钢制造方法,通过/失效确定方法,等级测定方法,表面缺陷确定程序,通过/失效确定程序,确定系统和钢制制造设备

摘要

A learned model generation method generates, by using a teacher image that is an image indicating a distribution of a defect portion of a surface of steel and includes a defect map of an equal image size and presence/absence of periodic defects assigned in advance to the relevant defect map, a learned model for which a defect map that is an image indicating a distribution of a defect portion of a surface of steel and having an image size of the equal image size is an input value and a value concerning presence/absence of periodic defects in the relevant defect map is an output value, by machine learning.
机译:通过使用作为指示钢表面缺陷部分的分布的图像来生成学习模型生成方法,并且包括预先分配的等于图像尺寸和周期性缺陷的缺陷图的缺陷图 相关的缺陷图,一种学习模型,其有用于指示钢表面缺陷部分的分布并具有等于图像尺寸的图像尺寸的图像的缺陷图是输入值和有关存在/不存在的值 相关缺陷映射中的定期缺陷是通过机器学习的输出值。

著录项

  • 公开/公告号EP3904868A1

    专利类型

  • 公开/公告日2021-11-03

    原文格式PDF

  • 申请/专利权人 JFE STEEL CORPORATION;

    申请/专利号EP20190906072

  • 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 EP

  • 入库时间 2022-08-24 22:03:25

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