Introduction of a wavelet transform based on 2D matched filter in a Markov random field for fine structure extraction: application on road crack detection

Sylvie Chambon; Peggy Subirats; Jean Dumoulin

doi:10.1117/12.805437

2 February 2009 Introduction of a wavelet transform based on 2D matched filter in a Markov random field for fine structure extraction: application on road crack detection

Sylvie Chambon, Peggy Subirats, Jean Dumoulin

Author Affiliations +

Proceedings Volume 7251, Image Processing: Machine Vision Applications II; 72510A (2009) https://doi.org/10.1117/12.805437
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

In the context of fine structure extraction, lots of methods have been introduced, and, particularly in pavement crack detection. We can distinguish approaches based on a threshold, employing mathematical morphology tools or neuron networks and, more recently, techniques with transformations, like wavelet decomposition. The goal of this paper is to introduce a 2D matched filter in order to define an adapted mother wavelet and, then, to use the result of this multi-scale detection into a Markov Random Field (MRF) process to segment fine structures of the image. Four major contributions are introduced. First, the crack signal is replaced by a more real one based on a Gaussian function which best represents the crack. Second, in order to be more realistic, i.e. to have a good representation of the crack signal, we use a 2D definition of the matched filter based on a 2D texture auto-correlation and a 2D crack signal. The third and fourth improvements concern the Markov network designed in order to allow cracks to be a set of connected segments with different size and position. For this part, the number of configurations of sites and potential functions of the MRF model are completed.

Citation Download Citation

Sylvie Chambon, Peggy Subirats, and Jean Dumoulin "Introduction of a wavelet transform based on 2D matched filter in a Markov random field for fine structure extraction: application on road crack detection", Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 72510A (2 February 2009); https://doi.org/10.1117/12.805437

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available