Crack detection on asphalt surface image using local minimum analysis

被引：0
|
作者：
Marchewka A. [1 ]
机构：
[1] Institute of Telecommunication, University of Technology and Life Sciences, Bydgoszcz 85-791
来源：
Advances in Intelligent and Soft Computing | 2010年 / 84卷
关键词：
D O I：
10.1007/978-3-642-16295-4_41
中图分类号：
学科分类号：
摘要：
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. © 2010 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：353 / 359
页数：6
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