The key to measurement by electronic speckle pattern interferometry (ESPI) is to obtain accurate phase information from the ESPI fringe patterns. We propose a fast batch skeleton extraction method for ESPI fringe patterns using the pix2pix conditional generative adversarial network (pix2pix cGAN). The network is trained by ESPI fringe patterns and complete skeleton images, and the trained network can quickly extract skeletons; it took 11.7 s to extract the skeletons of 200 experimental ESPI fringe patterns. Compared to the fringe skeleton method, cycle GAN method, and U-net method, our method can obtain accurate, complete, and smooth skeletons faster. In addition, for some broken ESPI fringe patterns, the traditional fringe skeleton method will fail, whereas complete skeletons can be obtained through the trained network.

电子散斑干涉仪 (ESPI) 测量的关键是从 ESPI 条纹图案中获得准确的相位信息。我们提出了一种使用 pix2pix 条件生成对抗网络 (pix2pix cGAN) 的 ESPI 条纹图案的快速批量骨架提取方法。通过ESPI条纹图案和完整的骨骼图像训练网络，训练后的网络可以快速提取骨骼；提取 200 个实验性 ESPI 条纹图案的骨架耗时 11.7 秒。与边缘骨架方法、循环 GAN 方法和 U-net 方法相比，我们的方法可以更快地获得准确、完整和平滑的骨架。此外，对于一些破碎的 ESPI 条纹图案，传统的条纹骨架方法会失效，而通过训练好的网络可以得到完整的骨架。