Free-form anisotropy: A new method for crack detection on pavement surface images

Author

Nguyen, Tien Sy ; Begot, Stéphane ; Duculty, Florent ; Avila, Manuel

Author_Institution

PRISME Lab., Univ. of Orleans, Orleans, France

fYear

2011

fDate

11-14 Sept. 2011

Firstpage

1069

Lastpage

1072

Abstract

This paper presents a new measure which takes into accounts simultaneously brightness and connectivity, in the segmentation step, for crack detection on road pavement images. Features which are calculated along every free-form paths provide detection of cracks with any form and any orientation. The method proposed does not need learning stage of free defect texture to perform default detection. Experimental results were conducted on some samples of different kinds of pavements. Results of the method are also given on other kinds of images and can provide perspectives on other domains as road extraction on satellite images or segment blood vessels in retinal images.

Keywords

crack detection; image segmentation; image texture; roads; structural engineering computing; blood vessel segmentation; crack detection; default detection; defect texture; free-form anisotropy; retinal images; road extraction; road pavement surface images; satellite images; Anisotropic magnetoresistance; Continuous wavelet transforms; Image segmentation; Noise; Roads; Surface cracks; Image segmentation; crack detection; defect detection; texture analyses;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2011 18th IEEE International Conference on

Conference_Location

Brussels

ISSN

1522-4880

Print_ISBN

978-1-4577-1304-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2011.6115610

Filename

6115610