Study on the application of automatic identification of gravel particle size based on GAS algorithm
Grain size and its distribution are vital indicators for characterizing coarse-grained beds.Based on GAS particle size automatic recognition technology,coarse particle bed surface particle size can be automati-cally identified and grading curves can be generated,greatly improving the efficiency of on-site sampling and analysis.To verify the segmentation effect of GAS,the default parameters provided by GAS are used for seg-mentation,while ImageJ software is applied for manual segmentation for verification.The results show that the relative error of the GAS grading curve is 5.7％,and the correlation coefficient is 0.992.Standardize parame-ter adjustment schemes by single parameter and multi parameter are also conducted to analysis the sensitivity.Parameters of gre,can1 and can2 can significantly affect the grading curve and characteristic grain sizes ex-tracted by GAS.Among them,gre plays a dominant role,while can1 and can2 control the detection integrity of gravel boundary.
coarse bed surfacegrading curveGAS algorithmdigital sievingimage processing
万方数据
维普
