DocumentCode
2851086
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
Volume
1
fYear
2000
fDate
2000
Firstpage
478
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.900999
Filename
900999
Link To Document