This repository contains a trained net model for computing fringes density with some example data and MATLAB script for the DeepDensity net evaluation. The train process explained in the artcile "DeepDensity: convolutional neural network based estimation of local fringe pattern density"
https://doi.org/10.1016/j.optlaseng.2021.106675
This code can be used freely for research purposes, but please cite some adequate paper:
M. Cywińska, F. Brzeski, W. Krajnik, K. Patorski, C. Zuo, M. Trusiak, "DeepDensity: Convolutional neural network based estimation of local fringe pattern density," Optics and Lasers in Engineering 145, 106675 (2021).
Authors:
Maria Cywińska[1], Filip Brzeski[1], Wiktor Krajnik[1], Krzysztof Patorski[1], Chao Zuo[2], Maciej Trusiak[1]
[1] WarsawUniversity of Technology, Institute of Micromechanics and Photonics, Faculty of Mechatronics, A Boboli 8, 02-525 Poland
[2] Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China
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