Estimating mass of crushed limestone particles from 2D images

Larry E. Banta; Ken Cheng; John P. Zaniewski

doi:10.1117/12.455258

11 February 2002 Estimating mass of crushed limestone particles from 2D images

Larry E. Banta, Ken Cheng, John P. Zaniewski

Proceedings Volume 4567, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology II; (2002) https://doi.org/10.1117/12.455258
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States

Abstract

In the construction of asphalt pavements, the stability of the asphalt is determined in large part by the gradation, or size distribution of the mineral aggregates that make up the matrix. Gradation is specified on the basis of sieve sizes and percent passing, where the latter is a cumulative measure of the mass of the aggregate passing the sieve as fraction of the total mass in the batch. In this paper, an approach for predicting particle mass based on 2D electronic images is explored. Images of crushed limestone aggregates were acquired using backlighting to create silhouettes. A morphological erosion process was used to separate touching and overlapping particles. Useful features of the particle silhouettes, such as area, centroid and shape descriptors were collected. Several dimensionless parameters were defined and were used as regressor variables in a multiple linear regression model to predict particle mass. Regressor coefficients were found by fitting to a sample of 501 particles ranging in size from 4.75 mm < particle sieve size < 25 mm. When tested against a different aggregate sample, the model predicted the mass of the batch to within +/- 2%.

Citation Download Citation

Larry E. Banta, Ken Cheng, and John P. Zaniewski "Estimating mass of crushed limestone particles from 2D images", Proc. SPIE 4567, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology II, (11 February 2002); https://doi.org/10.1117/12.455258

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