Title :
Genetic algorithm for weld image edge detection
Author :
Jing, Zhang ; Jin, Yan-Xia
Author_Institution :
Key Lab. of Instrum. Sci. & Dynamic Meas., North Univ. of China, Taiyuan, China
Abstract :
A new method for detect image´s edge in gradient operators is proposed in this paper. The method combines the gradient operators with genetic algorithm and can be used to edge extraction effectively in weld image. This algorithm not only can restrain noise powerfully, but also can protect edge information effectively.
Keywords :
edge detection; feature extraction; genetic algorithms; gradient methods; production engineering computing; welding; edge extraction; genetic algorithm; gradient operators; weld image edge detection; Detection algorithms; Genetics; Heuristic algorithms; Image edge detection; Noise; Pixel; Welding; Genetic algorithms; Gradient operators; Weld image;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622378
