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实时自动化热轧钢坯视觉检测系统。

A real-time automated visual inspection system for hot steel slabs.

机构信息

MEMBER, IEEE, Honeywell Systems and Research Center, 2600 Ridgway Parkway, Minneapolis, MN 55413.

出版信息

IEEE Trans Pattern Anal Mach Intell. 1983 Jun;5(6):563-72. doi: 10.1109/tpami.1983.4767445.

Abstract

This paper describes an inspection system designed to automatically detect and classify surface imperfections occurring on continuously cast hot steel slabs in a steel mill. The need to perform inspection at real-time throughput rates of 546 Kpixels/s using off-the-shelf components has led to the development of a unique architecture and algorithm set. The segmentation operations are done in a high-speed array processor front end. The imperfection classification is done in a mini-computer which uses statistical as well as syntactic/semantic classification techniques. The inspection system is currently undergoing evaluation in a steel mill.

摘要

本文介绍了一个用于自动检测和分类钢厂连续铸造热钢坯表面缺陷的检测系统。由于需要使用现成的组件以 546Kpixels/s 的实时吞吐量进行检测,因此开发了独特的体系结构和算法集。分割操作在高速阵列处理器前端完成。缺陷分类在一台使用统计和语法/语义分类技术的小型计算机中完成。该检测系统目前正在一家钢厂进行评估。

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