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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 In Applications of Computer Vision (WACV), 2012 IEEE Workshop on 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
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
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
2013-01-10 16:56:47
date last changed
2016-10-13 04:50:38
@misc{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},
  isbn         = {978-1-4673-0233-3 (print)},
  language     = {eng},
  pages        = {337--344},
  publisher    = {ARRAY(0x91899d0)},
  series       = {Applications of Computer Vision (WACV), 2012 IEEE Workshop on},
  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},
  year         = {2012},
}