Estimation of grain size in asphalt samples using digital image analysis

Hanna Källén; Anders Heyden; Per Lindh

doi:10.1117/12.2061730

23 September 2014 Estimation of grain size in asphalt samples using digital image analysis

Hanna Källén, Anders Heyden, Per Lindh

Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 921714 (2014) https://doi.org/10.1117/12.2061730
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

Asphalt is made of a mixture of stones of different sizes and a binder called bitumen, the size distribution of the stones is determined by the recipe of the asphalt. One quality check of asphalt is to see if the real size distribution of asphalt samples is consistent with the recipe. This is usually done by first extracting the binder using methylenchloride and the sieving the stones and see how much that pass every sieve size. Methylenchloride is highly toxic and it is desirable to find the size distribution in some other way. In this paper we find the size distribution by slicing up the asphalt sample and using image analysis techniques to analyze the cross-sections. First the stones are segmented from the background, bitumen, and then rectangles are fit to the detected stones. We then estimate the sizes of the stones by using the width of the rectangle. The result is compared with both the recipe for the asphalt and with the result from the standard analysis method, and our method shows good correlation with those.

Citation Download Citation

Hanna Källén, Anders Heyden, and Per Lindh "Estimation of grain size in asphalt samples using digital image analysis", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921714 (23 September 2014); https://doi.org/10.1117/12.2061730

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