Yi Lu Murphey, Tie-Qi
Chen, Jie Chen Anthony Tisler and Jianxin Zhang
1Department of Electrical and Computer Engineering
The University of Michigan-Dearborn
Abstract
In this paper, we present an advanced machine
vision system for VFD inspection. The system includes two procedures—off-line
learning and on-line testing. The learning procedure can be either
automatic or manual to give user more flexibility to control. A template
is generated from the intelligent learning, which includes all features
needed by the VFD inspection. The automatic testing procedure loads
the template and captures the images of the VFD boards on the manufacturing
line, then gives the accurate results quickly. Some machine vision
algorithms such as image binarization, image tilt detection, and component
detection are described in the paper.