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Measuring Bitumen Coverage of Stones using a Turntable and Specular Reflections

Källén, Hanna LU ; Heyden, Anders LU and Lindh, Per (2013) 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013) In VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications, Vol. 1 p.333-337
Abstract
The durability of a road is among other factors dependent on the affinity between stones in the top layer and bitumen that holds the stones together. Poor adherence will cause stones to detach from the surface of the road more easily. The rolling bottle method is the standard way to determine the affinity between stones and bitumen. In this test a number of stones covered in bitumen are put in a rolling bottle filled with water. After rolling a number of hours the bitumen coverage are estimated by visually investigating the stones. This paper describes a method for automatic estimation of the degree of bitumen coverage using image analysis instead of manual inspection. The proposed method is based on the observation that bitumen reflects... (More)
The durability of a road is among other factors dependent on the affinity between stones in the top layer and bitumen that holds the stones together. Poor adherence will cause stones to detach from the surface of the road more easily. The rolling bottle method is the standard way to determine the affinity between stones and bitumen. In this test a number of stones covered in bitumen are put in a rolling bottle filled with water. After rolling a number of hours the bitumen coverage are estimated by visually investigating the stones. This paper describes a method for automatic estimation of the degree of bitumen coverage using image analysis instead of manual inspection. The proposed method is based on the observation that bitumen reflects light much better than raw stones. In this paper we propose a method based on the reflections to estimate the degree of bitumen coverage. The stones are put on a turntable which is illuminated and a camera is placed straight above the stones. Turning the table will illuminate different sides of the stones and cause reflections on different part of the images. The results are compared to manual inspection and are well in agreement with these. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Segmentation Classification
in
VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications, Vol. 1
pages
5 pages
publisher
SciTePress
conference name
8th International Conference on Computer Vision Theory and Applications (VISAPP 2013)
external identifiers
  • scopus:84878230956
ISBN
978-989-8565-47-1
language
English
LU publication?
yes
id
e85ab3d9-d36b-4c66-85e8-6885a44d131c (old id 4015962)
date added to LUP
2014-01-20 14:51:23
date last changed
2017-01-01 08:03:42
@inproceedings{e85ab3d9-d36b-4c66-85e8-6885a44d131c,
  abstract     = {The durability of a road is among other factors dependent on the affinity between stones in the top layer and bitumen that holds the stones together. Poor adherence will cause stones to detach from the surface of the road more easily. The rolling bottle method is the standard way to determine the affinity between stones and bitumen. In this test a number of stones covered in bitumen are put in a rolling bottle filled with water. After rolling a number of hours the bitumen coverage are estimated by visually investigating the stones. This paper describes a method for automatic estimation of the degree of bitumen coverage using image analysis instead of manual inspection. The proposed method is based on the observation that bitumen reflects light much better than raw stones. In this paper we propose a method based on the reflections to estimate the degree of bitumen coverage. The stones are put on a turntable which is illuminated and a camera is placed straight above the stones. Turning the table will illuminate different sides of the stones and cause reflections on different part of the images. The results are compared to manual inspection and are well in agreement with these.},
  author       = {Källén, Hanna and Heyden, Anders and Lindh, Per},
  booktitle    = {VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications, Vol. 1},
  isbn         = {978-989-8565-47-1},
  keyword      = {Segmentation Classification},
  language     = {eng},
  pages        = {333--337},
  publisher    = {SciTePress},
  title        = {Measuring Bitumen Coverage of Stones using a Turntable and Specular Reflections},
  year         = {2013},
}