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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968380
