Automobile Frame Side Rail Detection System Based on Machine Vision
Yu Zhuo Men, Hai Bo Yu, Hua Wang, Jin Gang Gao, Xin Pan · Advanced materials research · 2012
A machine vision on-line detection system for automobile frame side fail mounting holes is proposed in this article to solve the backward and low-efficiency problems for detection methods of large-size automobile frame side fail mounting holes. Many images captured by CDD camera are processed and analyzed by virtue of algorithms such as image stitching, threshold segmentation, edge detection, feature extraction, etc.. The developed detection system prototype has very high detection accuracy.