IMAGE
EDGE DETECTION USING ARTIFICIAL NEURAL NETWORK
A.V. Naumenko, V.V. Lukin
A method
of joint analysis of several local edge detector outputs using an artificial
neural network is proposed. The efficiency of applying different edge detectors
in the neural network edge detector is considered. It is established that the
usage of only the most informative local parameters can improve characteristics
of the neural network edge detector. A procedure of neural network learning is
described and comparison of neural network detector efficiency to several known
detectors is carried out. The tasks of further research are formulated.
Keywords: edge detection, neural networks, joint analysis of local parameters