摘要
针对高温连铸坯表面缺陷无法在线检测问题,采用机器视觉技术和相应的试验装置,建立了高温背景下CCD快门控制时间成像模型,同时设计分类器算法对缺陷种类进行归类。系统所选CCD成像装备采用水冷风冷双层冷却方式,在高温状态下能长时间连续工作。系统可检测最大铸坯宽度为3000 mm,能有效抑制铸坯表面振痕产生的图像噪声影响,实现热态铸坯表面缺陷在线检测与分类。
Aimed at the problem of online detection of continuous slabs surface defect at high temperature, The CCD shutter control model was established using machine vision technology and equipment at high temperature states. The default clustering algorithm was provided. The CCD imaging equipment with dual cool modes of water and air was selected to ensure continuous work at high temperature conditions. The slab width of 3 000 mm can be detected, and the system can effectively restrain the influence of noise signals brought by oscillation marks on the surface of slabs and realize monitoring and clustering of the slab surface default.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第11期27-31,共5页
Journal of Chongqing University
基金
国家自然科学基金资助项目(50674109)
第三届重庆大学大学生创新基金资助项目(20060325)
关键词
连铸坯
机器视觉
无损检测
表面缺陷
continuous casting slabs
machine vision
nondestructive test
surface detect
