Nooraliei, AmirAltun, Adem Alpaslan2020-03-262020-03-262009978-0-7695-3925-6https://dx.doi.org/10.1109/ICCEE.2009.251https://hdl.handle.net/20.500.12395/234382nd International Conference on Computer and Electrical Engineering -- DEC 28-30, 2009 -- Dubai, U ARAB EMIRATESIn 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.en10.1109/ICCEE.2009.251info:eu-repo/semantics/closedAccessFSSAcellular Learning automataedge detectionConference Object327+N/AWOS:000276905000070N/A