Peggy Subirats
Research Subjects
Peggy Subirats has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Dominique Barba
Institut de Recherche en Communications et Cybernétique de Nantes, École polytechnique de, l'Université de Nantes rue Christian Pauc La Chantrerie BP 50609, 44306 Nantes Cedex (France)
1 shared publication - Jean Dumoulin
I4S Team, COSYS-SII, INRIA, University Gustave Eiffel, F-44344 Bouguenais, France
1 shared publication - Vincent Legeay
Laboratoire Central des Ponts et Chaussées, Route de Bouaye BP 4129 44341 Bouguenais Cedex (France)
1 shared publication
Latest Publications
- 1 October 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15224880,p. 3037-3040
Automation of Pavement Surface Crack Detection using the Continuous Wavelet Transform
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.
- 1 October 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15224880,p. 3037-3040
Automation of Pavement Surface Crack Detection using the Continuous Wavelet Transform
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.