On-line conveyor belts inspection based on machine vision

被引：99
作者：
Yang, Yanli [1 ]
Miao, Changyun [1 ]
Li, Xianguo [1 ]
Mei, Xiuzhuang [1 ]
机构：
[1] Tianjin Polytech Univ, Sch Elect & Informat Engn, Tianjin 300387, Peoples R China
来源：
OPTIK | 2014年 / 125卷 / 19期
基金：
中国国家自然科学基金;
关键词：
Machine vision; CCD camera; Conveyor belt; Longitudinal rip; Ethernet; SYSTEM;
D O I：
10.1016/j.ijleo.2014.07.070
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Under the background that mining conveyor belts are prone to failure in operation, the on-line fault detection technique based on machine vision for conveyor belts is investigated. High-brightness linear light sources arranged to a vaulted shape provide light for a line-array CCD camera to capture high-quality belt images. A fast image segmentation algorithm is proposed to deal belt images on-line. The algorithm for detecting longitudinal rip and belt deviation which are serious threat to the mine safety production from binary belt images is presented. Then, an on-line visual belt inspection system is developed. The laboratory testing results testify the validity of the visual inspection system. (C) 2014 Elsevier GmbH. All rights reserved.
引用
收藏
页码：5803 / 5807
页数：5
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