Detection of pavement cracks using tiled fuzzy Hough transform

被引：20

作者：

Mathavan, Senthan ^{[1
,2
]}

Vaheesan, Kanapathippillai ^{[3
]}

Kumar, Akash ^{[4
]}

Chandrakumar, Chanjief ^{[5
]}

Kamal, Khurram ^{[6
]}

Rahman, Mujib ^{[7
]}

Stonecliffe-Jones, Martyn ^{[8
]}

机构：

[1] Nottingham Trent Univ, Sch Architecture Design & Built Environm, Burton St, Nottingham, England

[2] Loughborough Univ, EPSRC Natl Ctr Innovat Mfg Intelligent Automat, Sch Mech & Mfg Engn, Ashby Rd, Loughborough, Leics, England

[3] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW, Australia

[4] DHA, Iscorpion, GS Store, Karachi, Pakistan

[5] Massey Univ, Sch Engn & Adv Technol, Palmerston North, New Zealand

[6] Natl Univ Sci & Technol, Coll Elect & Mech Engn, Dept Mechatron Engn, Rawalpindi, Pakistan

[7] Brunel Univ, Dept Civil Engn, Kingston Lane, Uxbridge, Middx, England

[8] Dynatest Int AS, Soborg, Denmark

来源：

JOURNAL OF ELECTRONIC IMAGING | 2017年 / 26卷 / 05期

关键词：

condition monitoring; surface inspection; defect analysis; crack; Hough transform; fuzzy logic; pavement;

D O I：

10.1117/1.JEI.26.5.053008

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2017 SPIE and IS&T

引用

页数：15