@inproceedings{582a77b8f0774328b245dc47513e09d2,
title = "A robust algorithm for the inspection of fastener head",
abstract = "In this paper, we deal with robust detection of defects that can occur on fastener head's peripheral side. In machine vision, the first necessary step is design good illumination system that can give image with good contrast between good and bad samples. In our case, it is difficult to devise such a god illumination system. First, we find the outer boundary of fastener head using binarization, connected component analysis and checking local distribution of intensity. Then four control points on outer boundary is chosen to ease finding the inner boundary of fastener head using polygon approximation and line fitting. Finally, decision can be done using two detected boundary points of fastener head.",
keywords = "Fastener, Fastener defect, Inspection, Machine vision",
author = "Ha, \{Jong Eun\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.536-537.77",
language = "English",
isbn = "9783038350781",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "77--80",
booktitle = "Advances in Mechatronics, Robotics and Automation II",
note = "2014 2nd International Conference on Mechatronics, Robotics and Automation, ICMRA 2014 ; Conference date: 08-03-2014 Through 09-03-2014",
}