Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads

Chinthaka Premachandra, H. Waruna H Premachandra, Chandana Dinesh Parape, Hiroharu Kawanaka

研究成果: Article

5 引用 (Scopus)

抄録

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.

元の言語English
ページ(範囲)545-553
ページ数9
ジャーナルInternational Journal of Machine Learning and Cybernetics
6
発行部数4
DOI
出版物ステータスPublished - 2015 8 24
外部発表Yes

Fingerprint

Crack detection
Discriminant analysis
Color
Cracks
Image analysis
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Computer Vision and Pattern Recognition

これを引用

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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.",
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AU - Premachandra, H. Waruna H

AU - Parape, Chandana Dinesh

AU - Kawanaka, Hiroharu

PY - 2015/8/24

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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.

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KW - Discriminant analysis

KW - Image sample variance

KW - Smooth driving

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