In the proposed ICA algorithm, the GFA is used to filter the spot image, the light spot images are subdivided into sub-pixel levels by the Bilinear Interpolation, and the...
Abstract:
In order to eliminate the beam jitter caused by the air disturbance and the vibrating devices, the error of light spotted jitter must be detected firstly. The beam jitter...Show MoreMetadata
Abstract:
In order to eliminate the beam jitter caused by the air disturbance and the vibrating devices, the error of light spotted jitter must be detected firstly. The beam jitter error can be corrected by a compensator to realize the beam stability control system. In this paper, an Improved Centroid Algorithm (ICA) combining with the Gaussian Fitting Algorithm (GFA), the Bilinear Interpolation and the Weighted Center of Mass (WCOM) was proposed. A Gaussian template is used to roughly locate the spot image in order to improve the efficiency and stability of the algorithm. The light spot image is interpolated by the Bilinear Interpolation to improve the accuracy of centroid identification. The identification accuracy and efficiency of the algorithm were verified by 100 sets of light spot experiments. The experimental results showed that the identification accuracy and efficiency of the Improved Centroid Algorithm were higher than those of the other algorithms. Our algorithm was of great significance for improving the performance of the beam stability control system.
In the proposed ICA algorithm, the GFA is used to filter the spot image, the light spot images are subdivided into sub-pixel levels by the Bilinear Interpolation, and the...
Published in: IEEE Access ( Volume: 10)