Quantitative analysis method of conveyor belt surface damage based on binocular vision
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.
conveyor belt surface damagequantitative analysisbinocular stereo visionCensus transformationSGM algo-rithmsstereo matchingprinciple of triangulation