In order to improve the counting accuracy and efficiency

the image processing techniques and neural network technology are integrated used to realize the identification and counting of the steel bar.The obtained original image of the steel bar is image processed digitally to obtain the interested part which is the the outline of reinforcement.calculate the width

height

area of a single steel bar contour and the total area of four bundled steel bar.These four characteristic quantities act as neural network input

the network is trained to recognize and count reinforcement.Simulation results verify the feasibility and effectiveness of this method.