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Research on visible light and infrared vision real-time detection system for conveyor belt longitudinal tear

机译：输送带纵向撕裂的可见光和红外视觉实时检测系统研究

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摘要

Conveyor belt longitudinal tear is one of the most serious problems in coal mining. It is very important to detect it in real-time before the length of the tear is too long. In this study, a method of longitudinal tear detection based on visible light charge coupled device (CCD) and infrared CCD is proposed. A visible light and infrared vision real-time detection system for conveyor belt longitudinal tear is designed based on this method. In this method, the infrared CCD uses adaptive histogram equalisation coordinating with Hough transform line detection. The visible light CCD, coordinating with a laser line source, uses the Hough transform algorithm and the features from accelerated segment test algorithm. These two kinds of CCDs work together to make detection results reliable. Experimental results show that the proposed method is effective and adaptive, and meets the requirements for reliable, real-time and online longitudinal tear detection. Compared to several current methods, the proposed method has a better performance on efficiency of detection.
机译：输送带的纵向撕裂是煤矿开采中最严重的问题之一。在撕裂的长度过长之前实时进行检测非常重要。本文提出了一种基于可见光电荷耦合器件（CCD）和红外CCD的纵向撕裂检测方法。基于这种方法，设计了一种用于输送带纵向撕裂的可见光和红外视觉实时检测系统。在这种方法中，红外CCD使用与Hough变换线检测配合的自适应直方图均衡。可见光CCD与激光线光源配合使用，使用了Hough变换算法和加速段测试算法的功能。这两种CCD一起工作可以使检测结果可靠。实验结果表明，该方法是有效的，自适应的，满足可靠，实时，在线的纵向撕裂检测的要求。与目前的几种方法相比，该方法具有更高的检测效率。

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