DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-3, Issue-1 ( Jan, 2015 ) | |||||||||
Paper Title |
Foreign Material Detector For Cleaning System Using Feature Point By Sift Algorithm | |||||||||
Author Name |
Sang-Bong Byun, Yong-Hwan Lee | |||||||||
Affilition |
School of Electronic Engineering, Kumoh National Institute of Technology, 1, Yangho-dong, Gumi, Gyungbuk, Korea | |||||||||
Pages |
5-8 | |||||||||
Abstract |
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. | |||||||||
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