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Journal of Electronic Imaging • new

Detection of pavement cracks using tiled fuzzy Hough transform
Author(s): Senthan Mathavan; Kanapathippillai Vaheesan; Akash Kumar; Chanjief Chandrakumar; Khurram Kamal; Mujib Rahman; Martyn Stonecliffe-Jones
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Paper Abstract

Surface cracks can be the bellwether of the failure of a road. Hence, crack detection is indispensable for the condition monitoring and quality control of road surfaces. Pavement images have high levels of intensity variation and texture content; hence, the crack detection is generally difficult. Moreover, shallow cracks are very low contrast, making their detection difficult. Therefore, studies on pavement crack detection are active even after years of research. The fuzzy Hough transform is employed, for the first time, to detect cracks from pavement images. A careful consideration is given to the fact that cracks consist of near straight segments embedded in a surface of considerable texture. In this regard, the fuzzy part of the algorithm tackles the segments that are not perfectly straight. Moreover, tiled detection helps reduce the contribution of texture and noise pixels to the accumulator array. The proposed algorithm is compared against a state-of-the-art algorithm for a number of crack datasets, demonstrating its strengths. Precision and recall values of more than 75% are obtained, on different image sets of varying textures and other effects, captured by industrial pavement imagers. The paper also recommends numerical values for parameters used in the proposed method.

Paper Details

Date Published: 9 September 2017
PDF: 15 pages
J. Electron. Imag. 26(5) 053008 doi: 10.1117/1.JEI.26.5.053008
Published in: Journal of Electronic Imaging Volume 26, Issue 5
Show Author Affiliations
Senthan Mathavan, Nottingham Trent Univ. (United Kingdom)
Loughborough Univ. (United Kingdom)
Kanapathippillai Vaheesan, The Univ. of New South Wales (Australia)
Akash Kumar, iScorpion Software House (Pakistan)
Chanjief Chandrakumar, Massey Univ. (New Zealand)
Khurram Kamal, National Univ. of Sciences and Technology (Pakistan)
Mujib Rahman, Brunel Univ. (United Kingdom)
Martyn Stonecliffe-Jones, Dynatest International A/S (Denmark)

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