Summary
In this paper a new method of cracks detection is introduced. The proposed algorithm is applied to detect the cracks in the pavement image. Local minimum and linear relation between them was proposed. The proposed method is classify into two stages: linear local minimum and verification of detecting of pavement cracking. This method is fast although is complex. Additionally, the proposed method eliminates slight and strong variations like irregularly illuminated conditions, shading and road signs painted on pavement surface.
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Marchewka, A. (2010). Crack Detection on Asphalt Surface Image Using Local Minimum Analysis. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_41
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DOI: https://doi.org/10.1007/978-3-642-16295-4_41
Publisher Name: Springer, Berlin, Heidelberg
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