基于机器视觉的大规模镍带宽度检测系统

L. Jianqi, Cao Binfang, Zhang Bin, Li Huan
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引用次数: 0

摘要

为了实现镀镍带钢冲孔总宽度的在线高精度检测,提出了一种基于计算机视觉和直线电机测量的镀镍带钢冲孔总宽度在线高精度检测方法。将高性能工业相机与远心镜头相结合,采集高质量的镍带图像。然后利用亚像素算法得到镍带的边缘。同时,通过对直线电机轨迹进行协调,得到两次后的部分图像,结合运动距离得到总宽度。提出了一种优化补偿算法,减小了由实际安装过程和温度引起的直线电机位移误差。研究表明,该系统能有效、稳定地检测出总宽度较大的镍带。精度为0.035mm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large-scale nickel band width detection system based on machine vision
In order to achieve on-line high-precision detection of the total width of punching nickel-plated steel strip, a method based on computer vision and linear motor measurement has been proposed. High quality nickel tape images were collected by combining high-performance industrial cameras with telecentric lenses. And, the edge of the nickel belt was then obtained by using a sub-pixel algorithm. Meanwhile, by coordinating the linear motor trajectory and getting the partial images after two times, the total width can be get by combining the movement distances. An optimization compensation algorithm is proposed, which reduces the linear motor displacement error caused by the actual installation process and the temperature. The research showed that the system can detect the large width of the nickel tape with the total width effectively and stably. The accuracy was 0.035mm.
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