首页> 外国专利> Trained model generation method, trained model, surface defect detection method, steel material manufacturing method, pass / fail judgment method, grade judgment method, surface defect judgment program, pass / fail judgment program, judgment system, and steel material manufacturing equipment.

Trained model generation method, trained model, surface defect detection method, steel material manufacturing method, pass / fail judgment method, grade judgment method, surface defect judgment program, pass / fail judgment program, judgment system, and steel material manufacturing equipment.

机译:训练有素的模型生成方法,培训型号,表面缺陷检测方法,钢材制造方法,通过/失效判断方法,等级判断方法,表面缺陷判断计划,通过/失败判断计划,判断系统和钢材制造设备。

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JP6973623B2

    专利类型

  • 公开/公告日2021-12-01

    原文格式PDF

  • 申请/专利权人 JFEスチール株式会社;

    申请/专利号JP20200509542

  • 发明设计人 腰原 敬弘;大野 紘明;

    申请日2019-10-31

  • 分类号G01N21/892;G06T7;B21B38;B21C51;

  • 国家 JP

  • 入库时间 2022-08-24 22:33:15

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