Development of a Size-Based Multiple Erosion Technique to Estimate the Aggregate Gradation in an Asphalt Mixture

Authors

  • Kritsada Saensomboon Chulalongkorn University
  • Boonchai Sangpetngam Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2017.21.5.315

Keywords:

Image Processing, Aggregate Gradation, Watershed, Image Morphology

Abstract

Image processing (IP) techniques have recently been applied in the field of asphalt materials to help identify aggregate particles and measure their geometrical information based on sectional images of the material. This study examined IP techniques to improve the accuracy of analyzing the size distribution of aggregates in an asphalt mixture, and proposed two new methods: seven-layer overlaying (SLO) and size-based multiple erosion (SBME) to solve the problem of identifying connected aggregate particles that often occurs in typical IP applications. The proposed methods were tested for their effectiveness with a typical IP method using a referenced sectional image of asphalt mixture. Both the proposed methods successfully improved the accuracy of detection (number and size distribution) of aggregate particles, but the SBME approach was superior over the SLO method.

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Author Biographies

Kritsada Saensomboon

Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Boonchai Sangpetngam

Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Published

Vol 21 No 5, Sep 29, 2017

How to Cite

[1]
K. Saensomboon and B. Sangpetngam, “Development of a Size-Based Multiple Erosion Technique to Estimate the Aggregate Gradation in an Asphalt Mixture”, Eng. J., vol. 21, no. 5, pp. 315-331, Sep. 2017.