Trial demonstrates effective detection of road cracks in images using image processing techniques, indicating useful insights for maintenance.
This trial describes the detection of road cracks from images of road stufaces using image Processing. The detection capability of the road cracks was studied on the basis of appropriate image proressing steps but without considering real time execution or application. Our aim is to obtain some quantitative tendencies related to human observation in two dimension monochrome images. The overall procedure steps were as follows: a "Morphology" filter was applied in the pre-proressing of the original image, "Template Matching" controlled by "Genetic Algorithm" was then applied as the main proressing, and mismatched areas were then adjusted in post-proressing. As a result, using a limited number of image data, the appropriate cracks to be visible by human obseivation of the images were detected by this method.
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Shirataki et al. (2000) studied this question.
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