DocumentCode
3350267
Title
Phase-grouping pavement cracks extraction method based on genetic algorithm
Author
Yang, Rui-rui ; Niu, Jian-qiang
Author_Institution
Electron. Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
fYear
2010
fDate
26-28 June 2010
Firstpage
4159
Lastpage
4162
Abstract
Analysis for existed pavement cracks extraction algorithm, pointing out the problems and deficiencies, a phase-grouping pavement cracks extraction method based on genetic algorithm was proposed. This method first used a genetic algorithm to determine the optimal threshold, which achieved the threshold of image segmentation; then adopted phase-grouping method to extract pavement cracks information. Experimental results show that the continuous cracks can be stable and effectively extracted, and the computational complexity is linear, it is conducive to high-speed real-time processing.
Keywords
condition monitoring; crack detection; genetic algorithms; image segmentation; roads; structural engineering computing; computational complexity; genetic algorithm; image segmentation; optimal threshold; phase-grouping pavement cracks extraction method; Application software; Computational complexity; Computer vision; Data mining; Educational institutions; Genetic algorithms; Genetic engineering; Image edge detection; Image segmentation; Phase detection; crack extract; genetic algorithm; phase-grouping method; threshold segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535664
Filename
5535664
Link To Document