Image Processing-Based Morphological Properties and Gradation Analysis of Coarse Aggregates

DOI

10.2991/978-94-6463-884-4_14How to use a DOI?

Keywords

Coarse Aggregate; Image Processing; Morphological Properties; Gradation; Automated Approach

Abstract

Morphological properties and gradation of coarse aggregates play an important role in the performance of construction materials in civil engineering, like concrete and asphalt. Traditional methods for the analysis of those properties include manual measurements and sieve analysis, which are extremely time-consuming and hence labor-intensive, thus prone to human error. Such traditional methods in effect reduce their efficiency and reliability in modern construction practices. This research will deal with these challenges by proposing a fully automated approach: a MATLAB-based image-processing technique for the determination of morphological properties and gradation of coarse aggregates. In this study, low-cost mobile phone images of coarse aggregate are preprocessed for background removal by segmenting each particle to extract its morphological properties. Some of the key morphological indices-like elongation index, flakiness index, sphericity and aspect ratio are computed, whereas gradation curves are obtained from the distribution of particle size. The results indicate that the framework presented herein, when compared with traditional methods, shows a deviation of only 10%-20% in the aggregate property characterization. Results show a great correlation between the automated approach of image processing with the traditional techniques with a significant reduction of time and effort. Gradation curves plotted from image analysis showed very good agreement with conventionally determined curves by sieve analysis. This study illustrates the capability of image processing for upgrading technology in coarse aggregate analysis, providing a rapid, and replicable approach. Future research will focus on improving the robustness of algorithms to cover a wide variety of aggregate types and field conditions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - S. Rahman
AU  - M. R. B. Mostafij
AU  - M. H. Maruf
AU  - S. Islam
AU  - M. F. Alam
PY  - 2025
DA  - 2025/11/18
TI  - Image Processing-Based Morphological Properties and Gradation Analysis of Coarse Aggregates
BT  - Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)
PB  - Atlantis Press
SP  - 111
EP  - 119
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-884-4_14
DO  - 10.2991/978-94-6463-884-4_14
ID  - Rahman2025
ER  -