Smart Phone-Assisted Rapid Aggregate Size Analysis Technology

Particle size distribution or aggregate gradation is the key to ensure the quality of concrete and optimize the structure design. In this paper, a method of measuring aggregate particle size distribution based on smartphone image is proposed. Firstly, the image contrast is enhanced by gray-scale and luminance transform, and the noise is removed by adaptive median filtering algorithm, and the edge of particles is preserved. Then the watershed algorithm is used to segment the image on the basis of clustering, and the two-dimensional shape and size parameters are extracted from the segmentation results. Compared with the screening method and the manual measurement method, the cumulative error rate of this method is controlled within 5%, which verifies its reliability. This method is suitable for rapid assessment of aggregate particle size distribution and provides effective technical support for quality control of concrete engineering.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/cisp-bmei64163.2024.10906119
Primary Topic
E-commerce and Technology Innovations
Type
article
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Smart Phone-Assisted Rapid Aggregate Size Analysis Technology

Jun Wei, Jin‐Ming Chen, Yiran Wang, Kai Zhu et al.
E-commerce and Technology Innovations
article

Smart Phone-Assisted Rapid Aggregate Size Analysis Technology

Jun Wei, Jin‐Ming Chen, Yiran Wang, Kai Zhu, W.Y. Zhou, Jiguang Han
article en

Abstract

Particle size distribution or aggregate gradation is the key to ensure the quality of concrete and optimize the structure design. In this paper, a method of measuring aggregate particle size distribution based on smartphone image is proposed. Firstly, the image contrast is enhanced by gray-scale and luminance transform, and the noise is removed by adaptive median filtering algorithm, and the edge of particles is preserved. Then the watershed algorithm is used to segment the image on the basis of clustering, and the two-dimensional shape and size parameters are extracted from the segmentation results. Compared with the screening method and the manual measurement method, the cumulative error rate of this method is controlled within 5%, which verifies its reliability. This method is suitable for rapid assessment of aggregate particle size distribution and provides effective technical support for quality control of concrete engineering.

University of Jinan (CN)
Openalex Percentile: Top 48%
E-commerce and Technology Innovations
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