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
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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4875924
- author
- Källén, Hanna
LU
; Heyden, Anders
LU
and Lindh, Per
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Machine vision, asphalt samples, size distribution, grain size
- host publication
- Applications of Digital Image Processing XXXVII
- volume
- 9217
- pages
- 921714 - 921714
- publisher
- SPIE
- conference name
- Conference on Applications of Digital Image Processing XXXVII
- conference dates
- 2014-08-18 - 2014-08-21
- external identifiers
-
- wos:000344014100031
- scopus:84922709601
- ISSN
- 0277-786X
- 1996-756X
- DOI
- 10.1117/12.2061730
- language
- English
- LU publication?
- yes
- id
- bf2b4c51-f01f-4034-8d4e-fb4a19434c5b (old id 4875924)
- date added to LUP
- 2016-04-01 09:54:23
- date last changed
- 2024-01-06 02:45:32
@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 = {{0277-786X}},
keywords = {{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}},
doi = {{10.1117/12.2061730}},
volume = {{9217}},
year = {{2014}},
}