Title :
A study of road crack detection by the meta-genetic algorithm
Author_Institution :
Kanagawa Inst. of Technol., Japan
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Africon, 1999 IEEE
Conference_Location :
Cape Town
Print_ISBN :
0-7803-5546-6
DOI :
10.1109/AFRCON.1999.820957
