Title :
Edge Detection by Using IJA Automaton
Author :
Nooraliei, Amir ; Altun, Adem Alpaslan
Author_Institution :
Member of Young Researchers Club, Islamic Azad Univ., Hamedan, Iran
Abstract :
In this paper, a fixed structure learning automaton (FSSA), called IJA, while study its steady state behavior in stationary environments is presented to extract the edge of the images. In this model, the gray scale matrix of the image is used. IJA Cellular learning automata edge detection model can extract the edge of the image without people participating in the course. Meanwhile, it is rather than the other cellular learning automata and achieves the edges with little evolution generations.
Keywords :
cellular automata; edge detection; learning automata; IJA automaton; cellular learning automata; edge detection; edge extraction; fixed structure learning automaton; gray scale matrix; steady state behavior; Biological system modeling; Computer science education; Evolution (biology); Feature extraction; Image coding; Image edge detection; Learning automata; Steady-state; Stochastic processes; Systems engineering education; FSSA; cellular Learning automata; edge detection;
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
DOI :
10.1109/ICCEE.2009.251
