DocumentCode
1577115
Title
A study of road crack detection by the meta-genetic algorithm
Author
Tomikawa, T.
Author_Institution
Kanagawa Inst. of Technol., Japan
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
543
Abstract
This paper describes the detection of road cracks from monochrome images based on an evolutionary model in artificial life. We propose the application of the meta-level genetic algorithm (GA) system to accumulate pseudo-solutions in each generation cycle for the 1st GA. The ability to detect road cracks has been studied on the basis of appropriate template matching controlled by the 2nd-GA which is under the control of the 1st-GA. The number of generation cycles of the 2nd-GA is used as a performance index to evaluate the adaptability of this system
Keywords
civil engineering computing; crack detection; feature extraction; genetic algorithms; image recognition; artificial life; evolutionary model; meta-genetic algorithm; monochrome images; pseudo-solutions; road crack detection; template matching; Costs; Genetics; Humans; Information filtering; Morphology; Optimization methods; Performance analysis; Roads; Search methods; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Africon, 1999 IEEE
Conference_Location
Cape Town
Print_ISBN
0-7803-5546-6
Type
conf
DOI
10.1109/AFRCON.1999.820957
Filename
820957
Link To Document