Paper
29 August 2016 A new A-star algorithm adapted to the semi-automatic detection of cracks within grey level pavement images
Longchao Yang, Vincent Baltazart, Rabih Amhaz, Peilin Jiang
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100333Z (2016) https://doi.org/10.1117/12.2243982
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Longchao Yang, Vincent Baltazart, Rabih Amhaz, and Peilin Jiang "A new A-star algorithm adapted to the semi-automatic detection of cracks within grey level pavement images", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333Z (29 August 2016); https://doi.org/10.1117/12.2243982
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Image segmentation

Image processing algorithms and systems

Evolutionary algorithms

Computer programming

Databases

MATLAB

Back to Top