摘要
回顾了基于X射线图像的铸件缺陷定位检测、分类识别、检测与分类一体化及缺陷图像仿真生成四类任务解决方法的研究进展,对比了现有缺陷智能检测、识别方法,并对未来的研究方向进行了展望。
The research progress of four kinds of task solutions based on X-ray images of casting defect location detection,classification recognition,integration of detection and classification,and defect image simulation generation were reviewed.The existing methods of intelligent defect detection and recognition were compared,and the future research directions were prospected.
作者
武博
计效园
孙晓龙
周建新
殷亚军
沈旭
WU Bo;JI Xiao-yuan;SUN Xiao-long;ZHOU Jian-xin;YIN Ya-jun;SHEN Xu(State Key Laboratory of Materials Processing and Die&Mould Technology,School of Materials Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China)
出处
《铸造》
CAS
北大核心
2022年第6期709-718,共10页
Foundry
基金
国家重点研发计划项目(2020YFB1710100)
国家自然科学基金(51905188)。
关键词
铸件缺陷
X射线图像
智能化
检测
识别
casting defects
X-ray image
intelligent
detection
recognition
