天津工业大学学报2024，Vol.43Issue(4)：60-66,7.DOI:10.3969/j.issn.1671-024x.2024.04.010
基于双目视觉的输送带表面损伤定量分析方法
Quantitative analysis method of conveyor belt surface damage based on binocular vision
摘要
Abstract
In order to quantitatively analyze the surface damage of conveyor belt and effectively judge its damage degree,maintenance methods and time are selected according to the damage degree to provide basis for staff maintenance.A quantitative analysis method of conveyor belt surface damage based on binocular stereo vision was proposed.In this method,the binocular camera was calibrated first,the conveyor belt surface damage image was processed and corrected,and the three-dimensional matching was carried out.The three-dimensional spatial information of the target point was obtained based on the parallax principle and the triangulation principle,and the damage degree was quantitatively analyzed through the mathematical calculation model.A stereo matching algorithm based on improved Census transform and SGM(semi-global matching)is proposed.The results show that the matching effect of the proposed algorithm is improved.Compared with Census transform algorithm and gradient algorithm,the mismatching rate is reduced by 5.26 percentage points and 3.92 percentage points,respectively,and the parallax map accuracy is the highest.The proposed method is used to quantitatively analyze the surface damage of the conveyor belt.Among the errors of the length,width and depth of the conveyor belt damage,the maximum error of the damage depth is 8.5％,which is still within the acceptable range.关键词
输送带表面损伤/定量分析/双目立体视觉/Census变换/SGM算法/立体匹配/三角测量原理Key words
conveyor belt surface damage/quantitative analysis/binocular stereo vision/Census transformation/SGM algo-rithms/stereo matching/principle of triangulation分类
矿业与冶金引用本文复制引用
李杰,王卫红..基于双目视觉的输送带表面损伤定量分析方法[J].天津工业大学学报,2024,43(4):60-66,7.基金项目
天津市科技计划成果转化接力项目(18YFJLCG00060) （18YFJLCG00060）
