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. 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.
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.
Original language | English |
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Title of host publication | Applications of Computer Vision (WACV), 2012 IEEE Workshop on |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 337-344 |
Number of pages | 8 |
ISBN (Print) | 978-1-4673-0233-3 (print), 978-1-4673-0232-6 (online) |
DOIs | |
Publication status | Published - 2012 |
Event | IEEE Workshop on Applications of Computer Vision, WACV 2012, Breckenridge, CO, USA, January 9-11, 2012 - Breckenridge, Colorado, United States Duration: 2012 Jan 9 → 2012 Jan 11 |
Conference
Conference | IEEE Workshop on Applications of Computer Vision, WACV 2012, Breckenridge, CO, USA, January 9-11, 2012 |
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Country/Territory | United States |
City | Breckenridge, Colorado |
Period | 2012/01/09 → 2012/01/11 |
Subject classification (UKÄ)
- Mathematics