MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images

Nicolas Coudray, Argyro Karathanou, Sylvie Chambon

2010

Abstract

In the context of fine structure extraction, this paper presents a new method based on multi-resolution segmentation applied for the detection of road cracks. A method already developed to detected low-contrasted biological membranes has been adapted to detect cracks on images: crack features are defined as heterogeneities rather than transitions of closed regions characterizing the membranes. This new methodology is quantitatively validated on reference segmentations and compared to an adapted filtering and Markovian modelling algorithm.

References

  1. Bray, J., Verma, B., Li, X., and He, W. (2006). A neural nework based technique for automatic classification of road cracks. In International Joint Conference on Neural Networks, pages 907-912.
  2. Chambon, S., Gourraud, C., Moliard, J.-M., and Nicolle, P. (2010). Road crack extraction with adapted filtering and markov model-based segmentation. In VISAPP.
  3. Coudray, N., Buessler, J.-L., Kihl, H., and Urban, J.-P. (2007). Tem images of membranes: a multiresolution edge-detection approach for watershed segmentation. In Physics in Signal and Image Processing (PSIP 2007).
  4. Elbehiery, H., Hefnawy, A., and Elewa, M. (2005). Surface defects detection for ceramic tiles using image processing and morphological techniques. Proceedings of World Academy of Science, Engineering and Technology (PWASET), 5:158-162.
  5. Frangi, A. F., Niessen, W. J., Vincken, K. L., and Viergever, M. A. (1998). Muliscale vessel enhancement filtering. In MICCAI, pages 130-137.
  6. Geman, D. and Jedynak, B. (1996). An active testing model for tracking roads in satellite images. IEEE Pattern Analysis and Machine Intelligence, 18(1):1-14.
  7. Iyer, S. and Sinha, S. (2005). A robust approach for automatic detection and segmentation of cracks in underground pipeline images. Image and Vision Computing, 23(10):921-933.
  8. Koutsopoulos, H. and Downey, A. (1993). Primitive-based classification of pavement cracking images. ASCE, Journal of Transportation Engineering, 119(3):402- 418.
  9. Redding, N. (1996). The autoscaling of oblique ionograms. Technical report, Defence science and technology organization canberra.
  10. Schmidt, B. (2003). Automated pavement cracking assessment equipment - state of the art. Technical Report 320, Surface Characteristics Technical Committee of the World Road Association (PIARC).
  11. Subirats, P., Fabre, O., Dumoulin, J., Legeay, V., and Barba, D. (2006). Automation of pavement surface crack detection with a matched filtering to define the mother wavelet function used. In European Signal Processing Conference.
  12. Tanaka, N. and Uematsu, K. (1998). A crack detection method in road surface images using morphology. In Workshop on Machine Vision Applications, pages 154-157.
Download


Paper Citation


in Harvard Style

Coudray N., Karathanou A. and Chambon S. (2010). MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 142-147. DOI: 10.5220/0002822801420147


in Bibtex Style

@conference{visapp10,
author={Nicolas Coudray and Argyro Karathanou and Sylvie Chambon},
title={MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={142-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002822801420147},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images
SN - 978-989-674-029-0
AU - Coudray N.
AU - Karathanou A.
AU - Chambon S.
PY - 2010
SP - 142
EP - 147
DO - 10.5220/0002822801420147