International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Foreign Material Detector For Cleaning System Using Feature Point By Sift Algorithm
Development of computer vision technology has been recently carried out rapidly. Nowadays, many computer
vision technologies are applied to machine vision technology. In this paper we research the detection of foreign material on the
tempered glass of the digital display based upon SIFT algorithm. The SIFT algorithm is used to detect the feature points of
foreign materials for auto-cleaning system. By using this detection system, we can improve the reliability of the auto-cleaning
and reduce the time and expenses.
Keywords- SIFT, DoG, Foreign Material Detection, Tempered Glass, Computer vision.
Author - Sang-Bong Byun, Yong-Hwan Lee
Citation - Sang-Bong Byun ,
Yong-Hwan Lee ,
Sang-Bong Byun, Yong-Hwan Lee " Foreign Material Detector For Cleaning System Using Feature Point By Sift Algorithm " ,
International Journal of Industrial Electronics and Electrical Engineering , Volume-3, Issue-1 ( Jan, 2015 )