Automation of pavement surface crack detection using the continuous wavelet transform

被引：180

作者：

Subirats, Peggy ^{[1
]}

Dumoulin, Jean ^{[1
]}

Legeay, Vincent ^{[1
]}

Barba, Dominique ^{[2
]}

机构：

[1] Lab Cent Ponts & Chaussees Cellule Mecan & Struct, Route de Bouaye BP 4129, F-44341 Bouguenais, France

[2] Ecole Polytech Univ Nantes, Inst Rech Commun & Cybernet Nantes, F-44306 Nantes, France

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年

关键词：

wavelet transforms; image segmentation; image shape analysis;

D O I：

10.1109/ICIP.2006.313007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new approach in automation for crack detection on pavement surface images. The method is based on the continuous wavelet transform. In the first step, a separable 2D continuous wavelet transform for several scales is performed. Complex coefficient maps are built. The angle and modulus information are used to keep significant coefficients. Then, wavelet coefficients maximal values are searched and their propagation through scales is analyzed. Finally, a post-processing gives a binary image which indicates the presence or not of cracks on the pavement surface image.

引用

页码：3037 / +

页数：2

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