Title :
Automation of Pavement Surface Crack Detection using the Continuous Wavelet Transform
Author :
Subirats, P. ; Dumoulin, J. ; Legeay, V. ; Barba, D.
Author_Institution :
Lab. Central des Ponts et Chaussees, Bouguenais, France
Abstract :
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.
Keywords :
crack detection; image segmentation; image texture; roads; surface cracks; wavelet transforms; binary image; complex coefficient maps; crack detection automation; image post-processing; image segmentation; image shape analysis; pavement surface images; separable 2D continuous wavelet transform; Aggregates; Automation; Continuous wavelet transforms; Image processing; Roads; Spatial resolution; Surface cracks; Surface texture; Surface waves; Wavelet transforms; Wavelet transforms; image segmentation; image shape analysis;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.313007
