Machine vision metal inspection

IF 1 4区计算机科学 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Electronic Imaging Pub Date : 1994-03-11 DOI:10.1117/12.171202

J. Morris, J. Notarangelo

引用次数: 2

Abstract

A new procedure is presented to introduce machine vision into a rolling mill environment for real-time on-line metal bar and rod inspection for flaw detection and characterization. Results are presented relating machine vision metal flaw signatures to flaw type and characteristics.

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机器视觉金属检测

提出了一种将机器视觉引入轧机环境的新方法，用于实时在线金属棒材和棒材的缺陷检测和表征。给出了机器视觉金属缺陷特征与缺陷类型和特征之间的关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Electronic Imaging 工程技术-成像科学与照相技术

CiteScore

1.70

自引率

27.30%

发文量

341

审稿时长

4.0 months

期刊介绍： The Journal of Electronic Imaging publishes peer-reviewed papers in all technology areas that make up the field of electronic imaging and are normally considered in the design, engineering, and applications of electronic imaging systems.