Title :
Edge detection by genetic algorithm
Author :
Lee, M.K. ; Leung, S.W. ; Cheung, H.L.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong
Abstract :
This paper presents a novel edge detection method based on a genetic algorithm (GA). Only a simple image data set is required for constructing the edge filter. The data set, which consists of a simple image and its expected edge features, is used for training by the GA. The merit of this method is that an effective edge extraction filter can be easily constructed. Results and examples are illustrated in the paper
Keywords :
digital filters; edge detection; genetic algorithms; GA; edge detection; edge extraction filter; edge features; edge filter; genetic algorithm; image data set; Biological cells; Genetic algorithms; Genetic engineering; Genetic mutations; Gray-scale; Image converters; Image edge detection; Laplace equations; Nonlinear filters; Pixel;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900999
