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

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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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Authors and Affiliations

  1. Tokyo University of Science, 6-3-1 Niijuku, Katsushikaku, Tokyo, 125-8585, Japan

    Chinthaka Premachandra

  2. Wayamba University of Srilanka, Makadura, Srilanka

    H. Waruna H. Premachandra

  3. Kyoto University, C1-1-209 Kyoto University Katsura, Nishikyo-Ku, Kyoto, 615-8540, Japan

    Chandana Dinesh Parape

  4. Mie University, 577 Kurimamachiya, Tsu, Mie, 514-8507, Japan

    Hiroharu Kawanaka

Authors
  1. Chinthaka Premachandra
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  2. H. Waruna H. Premachandra
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  3. Chandana Dinesh Parape
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  4. Hiroharu Kawanaka
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Correspondence to Chinthaka Premachandra.

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Premachandra, C., Premachandra, H.W.H., Parape, C.D. et al. Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads. Int. J. Mach. Learn. & Cyber. 6, 545–553 (2015). https://doi.org/10.1007/s13042-014-0240-6

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  • DOI: https://doi.org/10.1007/s13042-014-0240-6

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