Abstract
We present an image analysis based automatic road crack detection method for conducting smooth driving on non-smooth road surfaces. In the new proposal, first the road surface areas which include cracks are extracted as crack images by analyzing the color variance on norm. Then cracks are extracted from those areas by introducing a method on discriminant analysis. According to experiments using the images of different road surfaces, the new proposal showed better performances than the conventional approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 545-553 |
| Number of pages | 9 |
| Journal | International Journal of Machine Learning and Cybernetics |
| Volume | 6 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2015 Aug 24 |
| Externally published | Yes |
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Keywords
- Cracks
- Discriminant analysis
- Image sample variance
- Smooth driving
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Computer Vision and Pattern Recognition
Cite this
Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads. / Premachandra, Chinthaka; Premachandra, H. Waruna H; Parape, Chandana Dinesh; Kawanaka, Hiroharu.
In: International Journal of Machine Learning and Cybernetics, Vol. 6, No. 4, 24.08.2015, p. 545-553.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads
AU - Premachandra, Chinthaka
AU - Premachandra, H. Waruna H
AU - Parape, Chandana Dinesh
AU - Kawanaka, Hiroharu
PY - 2015/8/24
Y1 - 2015/8/24
N2 - We present an image analysis based automatic road crack detection method for conducting smooth driving on non-smooth road surfaces. In the new proposal, first the road surface areas which include cracks are extracted as crack images by analyzing the color variance on norm. Then cracks are extracted from those areas by introducing a method on discriminant analysis. According to experiments using the images of different road surfaces, the new proposal showed better performances than the conventional approaches.
AB - We present an image analysis based automatic road crack detection method for conducting smooth driving on non-smooth road surfaces. In the new proposal, first the road surface areas which include cracks are extracted as crack images by analyzing the color variance on norm. Then cracks are extracted from those areas by introducing a method on discriminant analysis. According to experiments using the images of different road surfaces, the new proposal showed better performances than the conventional approaches.
KW - Cracks
KW - Discriminant analysis
KW - Image sample variance
KW - Smooth driving
UR - http://www.scopus.com/inward/record.url?scp=84937894996&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937894996&partnerID=8YFLogxK
U2 - 10.1007/s13042-014-0240-6
DO - 10.1007/s13042-014-0240-6
M3 - Article
AN - SCOPUS:84937894996
VL - 6
SP - 545
EP - 553
JO - International Journal of Machine Learning and Cybernetics
JF - International Journal of Machine Learning and Cybernetics
SN - 1868-8071
IS - 4
ER -