Measurement of Bitumen Coverage of Stones for Road Building, Based on Digital Image Analysis
Källén, Hanna LU ; Heyden, Anders LU
; Åström, Karl
LU
and Lindh, Per
LU
(2012)
IEEE Workshop on Applications of Computer Vision, WACV 2012, Breckenridge, CO, USA, January 9-11, 2012
p.337-344
- Abstract
- The top layer of a road is made up of a mixture of stones
and bitumen and the durability is dependent on how well
the bitumen adheres to the stones. The standard way of
determining the bitumen coverage in the industry is the so
called rolling bottle method, where a number of stones cov-
ered with bitumen are put in a rolling bottle and the bitu-
men coverage is estimated after different times. This paper
describes a novel method for measuring the bitumen cover-
age of the stones by using advanced segmentation methods
instead of manual inspection. The stones are put on a ta-
ble and a number of images with different exposure times
are taken.... (More) - The top layer of a road is made up of a mixture of stones
and bitumen and the durability is dependent on how well
the bitumen adheres to the stones. The standard way of
determining the bitumen coverage in the industry is the so
called rolling bottle method, where a number of stones cov-
ered with bitumen are put in a rolling bottle and the bitu-
men coverage is estimated after different times. This paper
describes a novel method for measuring the bitumen cover-
age of the stones by using advanced segmentation methods
instead of manual inspection. The stones are put on a ta-
ble and a number of images with different exposure times
are taken. The images are normalized and the stones are
segmented from the background based on a threshold ob-
tained from an optimality criterion. Then the bitumen cov-
ered parts of the stones are segmented based on a graph-cut
method. The results are compared to manual inspection and
are well in agreement with these. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3044777
- author
- Källén, Hanna
LU
; Heyden, Anders
LU
; Åström, Karl
LU
and Lindh, Per
LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Applications of Computer Vision (WACV), 2012 IEEE Workshop on
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Workshop on Applications of Computer Vision, WACV 2012, Breckenridge, CO, USA, January 9-11, 2012
- conference location
- Breckenridge, Colorado, United States
- conference dates
- 2012-01-09 - 2012-01-11
- external identifiers
-
- scopus:84860674444
- ISBN
- 978-1-4673-0233-3 (print)
- 978-1-4673-0232-6 (online)
- DOI
- 10.1109/WACV.2012.6163036
- language
- English
- LU publication?
- yes
- id
- 7e897365-096e-406a-8d1c-98e4b3dce3bc (old id 3044777)
- date added to LUP
- 2016-04-04 12:16:41
- date last changed
- 2023-12-15 04:08:09
@inproceedings{7e897365-096e-406a-8d1c-98e4b3dce3bc,
abstract = {{The top layer of a road is made up of a mixture of stones<br/><br>
and bitumen and the durability is dependent on how well<br/><br>
the bitumen adheres to the stones. The standard way of<br/><br>
determining the bitumen coverage in the industry is the so<br/><br>
called rolling bottle method, where a number of stones cov-<br/><br>
ered with bitumen are put in a rolling bottle and the bitu-<br/><br>
men coverage is estimated after different times. This paper<br/><br>
describes a novel method for measuring the bitumen cover-<br/><br>
age of the stones by using advanced segmentation methods<br/><br>
instead of manual inspection. The stones are put on a ta-<br/><br>
ble and a number of images with different exposure times<br/><br>
are taken. The images are normalized and the stones are<br/><br>
segmented from the background based on a threshold ob-<br/><br>
tained from an optimality criterion. Then the bitumen cov-<br/><br>
ered parts of the stones are segmented based on a graph-cut<br/><br>
method. The results are compared to manual inspection and<br/><br>
are well in agreement with these.}},
author = {{Källén, Hanna and Heyden, Anders and Åström, Karl and Lindh, Per}},
booktitle = {{Applications of Computer Vision (WACV), 2012 IEEE Workshop on}},
isbn = {{978-1-4673-0233-3 (print)}},
language = {{eng}},
pages = {{337--344}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Measurement of Bitumen Coverage of Stones for Road Building, Based on Digital Image Analysis}},
url = {{http://dx.doi.org/10.1109/WACV.2012.6163036}},
doi = {{10.1109/WACV.2012.6163036}},
year = {{2012}},
}