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査読

9 被引用数 (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.

本文言語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
4
DOI
出版ステータスPublished - 2015 8 24
外部発表はい

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Computer Vision and Pattern Recognition

フィンガープリント 「Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル