Authors: Tiezhu Qiao; Yanfei Duan
Addresses: Key Lab of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan, 030024, China ' Key Lab of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan, 030024, China
Abstract: For the conveyer belt in coal mine often damaged by hazards such as stones or metals in transit which can cause a longitudinal tear, and the feature of hazards' status changed when transportation belt being torn, a mean shift tracking and monitoring method was approached. Infrared spectrum imaging model was established for hazard, and extracted hazard grey value according to reflected background radiation differences between hazard and coal in the best wavelength range. Hazard model is established using grey space joint histogram, mean shift vector is established with bandwidth matrix and recursive equations are given in EM like manner. Experiments show that when hazards tearing the tape, the algorithm can be real-time tracking and monitoring the state of hazards to determine the tape tear.
Keywords: mean shift; infrared spectroscopic imaging; dynamic hazard identification; image processing; conveyor belt tracking; conveyer belts; coal mines; mining industry; belt damage; background radiation; grey space joint histogram; conveyor belt monitoring; conveyor belt tears; belt tearing.
International Journal of Mining and Mineral Engineering, 2015 Vol.6 No.4, pp.309 - 320
Received: 20 Mar 2015
Accepted: 18 Jun 2015
Published online: 13 Nov 2015 *