A Monitoring Method for Small Cracks in Building Walls based on Multi perspective 3D Laser Scanning Technology
Conventional monitoring methods for small cracks in building walls often use pole feature clustering algorithms,but ignore the impact of noise points on the pixel distribution of crack images,resulting in low final monitoring accuracy.Therefore,a monitoring method for small cracks in building walls based on multi perspective 3D laser scanning technology is proposed.Using multi perspective 3D laser scanning technology to collect grayscale images of wall cracks,filter and process the images to reduce the impact of noise points on pixel distribution.By calculating the feature density value and binary separation coefficient of crack points,the image grayscale calibration is completed.Combined with the critical values of scanning parameters,point cloud data from non target areas is removed,and the target area of the crack image is segmented based on this,Perform affine transformation on the target area of the crack image and obtain the centroid of the crack,thereby obtaining the distribution interval of the crack and achieving wall miniaturization;Monitoring of points.The comparative experimental results show that when the designed method is applied to monitoring small cracks in building walls,the deviation between the monitoring values obtained and the actual values is small,and the monitoring accuracy is high.
multi perspective 3D laser scanning technologybuilding wallsminor cracksmonitoring
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