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

9 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

Access to Document

10.1007/s13042-014-0240-6

Fingerprint Dive into the research topics of 'Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads'. Together they form a unique fingerprint.

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 journal › Article › peer-review

@article{eea51c8741ac42449300d3a872886ae1,

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

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.",

keywords = "Cracks, Discriminant analysis, Image sample variance, Smooth driving",

author = "Chinthaka Premachandra and Premachandra, {H. Waruna H} and Parape, {Chandana Dinesh} and Hiroharu Kawanaka",

year = "2015",

month = aug,

day = "24",

doi = "10.1007/s13042-014-0240-6",

language = "English",

volume = "6",

pages = "545--553",

journal = "International Journal of Machine Learning and Cybernetics",

issn = "1868-8071",

publisher = "Springer Science + Business Media",

number = "4",

}

TY - JOUR

T1 - Road crack detection using color variance distribution and discriminant analysis for approaching smooth vehicle movement on non-smooth roads

AU - Premachandra, Chinthaka

AU - Premachandra, H. Waruna H

AU - Parape, Chandana Dinesh

AU - Kawanaka, Hiroharu

PY - 2015/8/24

Y1 - 2015/8/24

N2 - 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.

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.

KW - Cracks

KW - Discriminant analysis

KW - Image sample variance

KW - Smooth driving

UR - http://www.scopus.com/inward/record.url?scp=84937894996&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937894996&partnerID=8YFLogxK

U2 - 10.1007/s13042-014-0240-6

DO - 10.1007/s13042-014-0240-6

M3 - Article

AN - SCOPUS:84937894996

VL - 6

SP - 545

EP - 553

JO - International Journal of Machine Learning and Cybernetics

JF - International Journal of Machine Learning and Cybernetics

SN - 1868-8071

IS - 4

ER -

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

Access to Document

Other files and links

Cite this