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Estimation of Grain Size in Asphalt Samples using Digital Image Analysis

Källén, Hanna LU ; Heyden, Anders LU and Lindh, Per (2014) Conference on Applications of Digital Image Processing XXXVII In Applications of Digital Image Processing XXXVII 9217. p.921714-921714
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... (More)
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. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Machine vision, asphalt samples, size distribution, grain size
in
Applications of Digital Image Processing XXXVII
volume
9217
pages
921714 - 921714
publisher
SPIE
conference name
Conference on Applications of Digital Image Processing XXXVII
external identifiers
  • wos:000344014100031
  • scopus:84922709601
ISSN
1996-756X
0277-786X
DOI
10.1117/12.2061730
language
English
LU publication?
yes
id
bf2b4c51-f01f-4034-8d4e-fb4a19434c5b (old id 4875924)
date added to LUP
2014-12-23 10:39:42
date last changed
2017-11-20 15:05:48
@inproceedings{bf2b4c51-f01f-4034-8d4e-fb4a19434c5b,
  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.},
  author       = {Källén, Hanna and Heyden, Anders and Lindh, Per},
  booktitle    = {Applications of Digital Image Processing XXXVII},
  issn         = {1996-756X},
  keyword      = {Machine vision,asphalt samples,size distribution,grain size},
  language     = {eng},
  pages        = {921714--921714},
  publisher    = {SPIE},
  title        = {Estimation of Grain Size in Asphalt Samples using Digital Image Analysis},
  url          = {http://dx.doi.org/10.1117/12.2061730},
  volume       = {9217},
  year         = {2014},
}