Research on Weighing of Concrete Aggregate Pile Based on Binocular Vision
Abstract
At present, the weighing process of concrete aggregate is cumbersome, and the weighing result has a large error. This paper proposes a method for measuring the weight of irregular bone stockpiles based on binocular vision. Firstly, based on the principle of binocular vision, the improved SMG stereo matching algorithm and OTSU threshold segmentation algorithm are used to calculate the 3D point cloud coordinates corresponding to the disparity map. Then, the 3D reconstruction of the aggregate pile and the calculation method of volume and mass are proposed. The results show that the method can accurately measure the aggregate pile weight, and the measurement error is less than 6%. The method can effectively reduce the operating cost of the concrete batching station and improve the measurement efficiency.
Full Text:
PDFReferences
Lotfi Somayeh,Eggimann Manuel,Wagner Eckhard,Mroz Radoslaw,Deja Jan.Performance of recycled aggregate concrete based on a new concrete recycling technology[J].Construction and Building Materials,2015,95(octa1):243-256
Di Cristo Cristiana,Greco Massimo,Iervolino Michele,Martino Riccardo,Vacca Andrea.A remark on finite volume methods for 2D shallow water equations over irregular bottom topography[J].Journal of hydraulic research,2021,59(2):337-344
Panteleimon Chriskos,Christos A. Frantzidis,Polyxeni T. Gkivogkli,Panagiotis D. Bamidis,Chrysoula Kourtidou-Papadeli.Achieving Accurate Automatic Sleep Staging on Manually Pre-processed EEG Data Through Synchronization Feature Extraction and Graph Metrics[J].Frontiers in Human Neuroscience,2018,12(1)
Marc O, Sio-Hoi I. 26 A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems[J]. Scientific Reports, 2017, 7: 40703.
Ze-wen Qiu,Min Wang.Non-contact Measurement of Complex Surface Object Volume Based on Image Processing of Double Image Field[C]//Society of Photo-Optical Instrumentation Engineers;International Symposium on Advanced Optical Manufacturing and Testing Technologies;Chinese Optical Society.2019
Pingping Lu,Qing Liu,Jianming Guo.Chapter 4 Camera Calibration Implementation Based on Zhang Zhengyou Plane Method[C]//Chinese Intelligent Systems Conference.2015
Liu Hongqing.Fingerprint Identification Based on Wavelet Texture Features of Matlab[C]//International Conference on Computer Science and Advanced Materials.2019
Bhandari Ashish Kumar,Singh Anurag,Kumar Immadisetty Vinod.Spatial Context Energy Curve-Based Multilevel 3-D Otsu Algorithm for Image Segmentation[J].Systems, Man and Cybernetics, IEEE Transactions on,2021,51(5):2760-2773
Zeng Chao,Luo Wei,Shao Hongwei,Lu Hong.Three-dimensional surface reconstruction based on binocular vision[C]//International Conference on Robotics and Automation Engineering.2017
Mingwei Shao,Zhenzhong Wei,Mengjie Hu.A flexible method for calibrating external parameters of two cameras with no-overlapping FOV[C]//International symposium on precision mechanical measurements.2016
Yue Wang,Xiangjun Wang,Zijing Wan,Jiahao Zhang.A Method for Extrinsic Parameter Calibration of Rotating Binocular Stereo Vision Using a Single Feature Point[J].Sensors (Basel Switzerland),2018,18(11)
K. Salhi, E. M. Jaara and M. T. Alaoui, "Pretreatment Approaches for Texture Image Segmentation," 2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV), 2016, pp. 221-225, doi: 10.1109/CGiV.2016.50.
R. Wang and Z. Liang, "Automatic Separation System of Coal Gangue Based on DSP and Digital Image Processing," 2011 Symposium on Photonics and Optoelectronics (SOPO), 2011, pp. 1-3, doi: 10.1109/SOPO.2011.5780625.
HIRSCHMULLER H.Accurate and Efficient Stereo Processing by Semi Global Matching and Mutual Information:Computer vision and Pattern Recognition,2005.CVPR 2005.IEEE Computer Society Conference on,2005[C].
HIRSCHMULLER H. Hirschmuller,H.:Stereo processing by semiglobal matching and mutual information.IEEE PAMI 30(2),328-341[J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2008, 30(2) :328-341.
ZABIHR,WOODFELL J.Non-parametric local transforms for computing visual correspondence [M].1994:151-158.
Lijun Zhong,Junyou Qin,Xia Yang,Xiaohu Zhang,Yang Shang,Hongliang Zhang,Qifeng Yu.An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision[J].Sensors (Basel Switzerland),2021,21(2)
Yong Liu,Yanwei Zheng.Accurate Volume Calculation Driven by Delaunay Triangulation for Coal Measurement[J].Scientific programming,2021,2021(a)
Z. Chao, L. Wei, S. Hongwei and L. Hong, "Three-dimensional surface reconstruction based on binocular vision," 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE), 2017, pp. 389-393, doi: 10.1109/ICRAE.2017.8291416.
DOI: https://doi.org/10.31449/inf.v46i7.4115
This work is licensed under a Creative Commons Attribution 3.0 License.