DocumentCode
2514792
Title
Intelligent detection system for mine belt tearing based on machine vision
Author
Li, Ming ; Du, Bianjing ; Zhu, Meiqiang ; Zhao, Kai
Author_Institution
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
fYear
2011
fDate
23-25 May 2011
Firstpage
1250
Lastpage
1253
Abstract
Under the engineering background of conveyor belt prone to be torn in coal production, an intelligent Detection system for mine belt tearing based on machine vision is designed. This paper first describes the overall composition of the system, and then introduces the methods of belt image preprocessing, image segmentation and feature extraction which are used in the detection system. And experiments are given to verify the feasibility of the system.
Keywords
belts; computer vision; conveyors; feature extraction; image segmentation; mining equipment; belt image preprocessing; coal production; conveyor belt; feature extraction; image segmentation; intelligent detection system; machine vision; mine belt tearing; Belts; Entropy; Feature extraction; Image segmentation; Mutual information; Pixel; Belt Tearing; Detection System; Machine Vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968380
Filename
5968380
Link To Document