A new A-star algorithm adapted to the semi-automatic detection of cracks within grey level pavement images

被引:0
|
作者
Yang, Longchao [1 ]
Baltazart, Vincent [2 ]
Amhaz, Rabih [2 ,3 ]
Jiang, Peilin [1 ]
机构
[1] Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian, Shaanxi, Peoples R China
[2] LUNAM Univ, IFSTTAR, Nantes, France
[3] Paul Sabatier Univ, IRIT, Toulouse, France
关键词
minimal path; crack; pavement; NDT&E; surface monitoring; image texture;
D O I
10.1117/12.2243982
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The detection of cracking on the road surface is an important issue in many countries to insure the maintenance and the monitoring of the roadways. This paper proposes a method which adapts the single pair shortest path A* algorithm to the detection of cracks within pavement images. The proposed A* algorithm computes the crack skeleton by calculating the minimal path between a pair of pixels which belong to the crack structure. Compared with the widespread and ubiquitous Dijkstra's algorithm and to its bidirectional version, the proposed A* reduces the amount of the visited pixels; it is thus about 4 times faster than Dijkstra while keeping a large similarity coefficient with the ground truth.
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页数:5
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