Increasing Accuracy by Number of Sectional Images used in Processing the Aggregate Gradation in Asphalt Concrete

Authors

  • กฤษฎา แสนสมบูรณ์
  • บุญชัย แสงเพชรงาม
  • ศิวารักษ์ อุ่นศิวิไลย์

Keywords:

Asphalt concrete, image processing, aggregate gradation, sieve analysis

Abstract

This paper presents the application of image processing (IP) technique using size-based multiple erosion method which is derived from the watershed transform method to determine the percent retained of aggregates in asphalt concrete. The method uses scanned cross-sectional images of asphalt concrete specimens as the input and yields the percent retained on standard aggregate sizes as the results. The statistical analysis reveals that the percent retained results obtained by the IP method are not different from those obtained by sieving method in laboratory. Moreover, the statistical analysis shows that the bigger image area and the more number of sectional images can reduce the deviation of the percent retained results in reference to the sieving method.

References

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Published

2020-06-22

How to Cite

[1]
แสนสมบูรณ์ ก. ., แสงเพชรงาม บ. ., and อุ่นศิวิไลย์ ศ. . ., “Increasing Accuracy by Number of Sectional Images used in Processing the Aggregate Gradation in Asphalt Concrete ”, Eng. & Technol. Horiz., vol. 34, no. 2, pp. 70–77, Jun. 2020.

Issue

Vol. 34 No. 2 (2017): April -June

Section

Research Articles

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