Vision-based surface defect inspection of metal balls
Vision-based surface defect inspection of metal balls
复制标题
DOI：
10.1088/0957-0233/22/10/107001
复制
发表时间：
2011-10
影响因子：
2.4
通讯作者：
Y. Do;Sang-Ok Lee;Yoon-Su Kim
中科院分区：
文献类型：
--
作者：
Y. Do;Sang-Ok Lee;Yoon-Su Kim
介绍了一种用于金属球表面缺陷检测的机器视觉系统。当球在倾斜的轨道上滚动时，所提出的系统能够通过两个渐进式CCD摄像机捕捉到多个灰度图像来检测球的整个表面。通过在球周围安装遮光罩，降低了金属表面的镜面反射比。通过简单地将每个捕获的图像与其对应的参考图像进行比较来检测缺陷。为这项实验建造的系统每秒可以分选两个铬球，空间分辨率优于0.1毫米。
A machine vision system developed for inspecting metal ball surface defects is presented. The proposed system is capable of inspecting the entire surface of a ball by capturing multiple gray-scale images with two progressive CCD cameras as the ball rolls on an inclined rail. The specular reflectance of the metal surface is lessened by installing a shade around the ball. Defects are detected by simply comparing each captured image with its corresponding reference image. The system built for the experiment could sort two chrome balls per second with a spatial resolution better than 0.1 mm.