DocumentCode :
2494755
Title :
Method of edge detection based on non-linear cellular automata
Author :
Ha, Yan
Author_Institution :
Coll. of Phys. Sci. & Technol., Hebei Univ., Baoding
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
6817
Lastpage :
6821
Abstract :
The quality of edge detection is usually unsatisfactory for real-world image with many textures. This paper introduces a new method for edge detection based on non-linear cellular automata. Compared with other four classical methods, such as the Robert, Sobel, Prewitt, and Log detectors, the experimental results have shown that this method can not only remove the noise effectively, but also ensures the continuity, integrity and accurate location of imagepsilas edge.
Keywords :
cellular automata; edge detection; image denoising; image texture; edge detection; nonlinear cellular automata; Automation; Bifurcation; Chemical technology; Detectors; Educational institutions; Image edge detection; Image processing; Intelligent control; Partial differential equations; Physics; Edge detection; cellular automata; reaction diffusion systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593966
Filename :
4593966
Link To Document :
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