Phase unwrapping technology about point diffraction interference fringe based on atrous spatial convolutional networks
In order to meet the high-precision,high-efficiency,and anti-interference detection require-ments of point diffraction interference measurement for phase unwrapping algorithms.Atrous Spatial Con-volutional Networks-based phase unwrapping method for phase-shifted point diffraction interference imag-es was proposed.By combining the autoencoder structure and the adaptive spatial convolution,higher phase unwrapping accuracy was achieved,and the degradation of the network model was effectively pre-vented,realizing controllable multi-scale feature extraction of the wrapped phase image.A large and di-verse dataset of point diffraction phase data was used for training and optimization,which accurately identi-fies the order of the wrapped phase and quickly processed the wrapped image to obtain high-precision un-wrapping results.The proposed method was applied to actual point diffraction interference images and compared with results from ESDI professional interference image processing software and other unwrap-ping algorithms.The results show that the unwrapping results have an RMSE value of 0.022 2 rad com-pared to the software processing results,with a surface fitting result PV difference of only 0.012 1λ and an RMS difference of only 0.004 2λ.In terms of time efficiency,it takes only 0.035 s on average to com-plete the processing of an image,while the traditional methods are all greater than 1 s.Compared to other methods,the proposed method exhibits fast and high-precision characteristics in unwrapping wrapped phase,providing a new feasible solution for high-precision phase unwrapping in point diffraction interfer-ence image processing.
万方数据
维普
