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

Research output: Contribution to journalArticle

4 Citations (Scopus)

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 languageEnglish
Pages (from-to)545-553
Number of pages9
JournalInternational Journal of Machine Learning and Cybernetics
Volume6
Issue number4
DOIs
Publication statusPublished - 2015 Aug 24
Externally publishedYes

Fingerprint

Crack detection
Discriminant analysis
Color
Cracks
Image analysis
Experiments

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 journalArticle

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