基于视觉的热轧带钢缺陷周期性检测技术

F. Bulnes, R. Usamentiaga, D. García, J. Molleda, J. Rendueles
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引用次数: 6

摘要

本文介绍了一种检测特别严重问题的技术:周期性缺陷。周期性缺陷会对带钢造成严重的损伤,应尽快纠正。该技术基于人工视觉系统提供的信息,在开始轧制下一条带材之前,报告在一条带材上检测到的周期性缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-based technique for periodical defect detection in hot steel strips
This document presents a technique to detect a particularly serious problem: periodical defects. Periodical defects can cause serious damage to steel strips, and so should be corrected as quickly as possible. The technique proposed, which is based on information provided by an artificial vision system, reports on periodical defects detected in one strip before starting to roll the next.
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