Application study of image processing technology applied in vision system of inspection robot on power transmission lines

Abstract

The methods of orientation and damage inspection of porcelain bottles applied in the vision system of inspection robot on the power transmission lines is proposed.Simulation of vision system of the robot is implemented by hardware such as CCD.The images collected by the system is preprocessed for filtering and segmenting the object from the background by the threshold.According to the characteristic region in the center of porcelain bottles,features are extracted based on the shape and moment invariants.In order to ac-complish the orientation,probabilistic neural network is used for recognition of the characteristic region and background region.Damage of porcelain bottles is inspected by Harris corner detector and the gray level rate of longitudinal tangent.The method above is simulated and experimented.The simulation result of indicates the reliability.