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

doi:10.1007/s13042-014-0240-6

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 journal › Article › peer-review

10 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 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	https://doi.org/10.1007/s13042-014-0240-6
Publication status	Published - 2015 Aug 24
Externally published	Yes

Keywords

Cracks
Discriminant analysis
Image sample variance
Smooth driving

ASJC Scopus subject areas

Artificial Intelligence
Software
Computer Vision and Pattern Recognition

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10.1007/s13042-014-0240-6

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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 › peer-review

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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 - Kawanaka, Hiroharu

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

Abstract

Keywords

ASJC Scopus subject areas

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