理化检验-物理分册2024，Vol.60Issue(7)：13-17,5.DOI:10.11973/lhjy-wl230240
影响全自动夹杂物分析系统识别效果的因素
Factors affecting the recognition performance of fully automatic inclusion analysis system
王晓东 1吴园园 1金传伟 1张继明1
作者信息
- 1. 江苏省(沙钢)钢铁研究院,张家港 215625
- 折叠
摘要
Abstract
Taking cord steel and free cutting steel as research objects,explored the effects of image acquisition parameters,grayscale and threshold settings,and protection zone settings parameters on the statistical results of inclusions in steel when using a fully automatic inclusion analysis system for automatic statistical analysis of inclusions in steel.The results show that the required pixel size could be calculated by minimizing the probability of identifying the inclusion size,and then selected the appropriate magnification and resolution.The grayscale and threshold settings must match.When using reference Al,accurate statistical results could be obtained when the grayscale difference ratio was about 3.7.When the size of inclusions in the sample was small,no protective zone could be set up.When the size of inclusions was large,a protective zone needed to be set up.关键词
夹杂物分析/图像采集参数/灰度/阈值/保护区Key words
inclusion analysis/image acquisition parameter/grayscale/threshold/guard zone分类
矿业与冶金引用本文复制引用
王晓东,吴园园,金传伟,张继明..影响全自动夹杂物分析系统识别效果的因素[J].理化检验-物理分册,2024,60(7):13-17,5.
