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FpFIF2

2D fringe pattern Fast Iterative Filtering

Install / Use

/learn @MRogalski96/FpFIF2
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

fpFIF2

2D fringe pattern Fast Iterative FIltering (fpFIF2) is an algorithm that decomposes the given image into several instrinct mode functions (IMFs) and each IMF consists a different frequency component of the image. fpFIF2 is dedicated to work with optical fringe pattern images, in particular to separate their: noise, fringes and background components. <br> This code was based on the 2D Fast Iterative Filtering (FIF2) algorithm: https://github.com/Acicone/FIF2

Please cite our work: <br> M. Rogalski, M. Pielach, A. Cicone, P. Zdańkowski, L. Stanaszek, K. Drela, K. Patorski, B. Lukomska, and M. Trusiak, “Tailoring 2D fast iterative filtering algorithm for low-contrast optical fringe pattern preprocessing,” Optics and Lasers in Engineering, vol. 155, no. April, p. 107069, Aug. 2022, doi: 10.1016/j.optlaseng.2022.107069.

Created by

Mikołaj Rogalski, <br> mikolaj.rogalski.dokt@pw.edu.pl <br> Institute of Micromechanics and Photonics, <br> Warsaw University of Technology, 02-525 Warsaw, Poland

Related Skills

View on GitHub
GitHub Stars13
CategoryDevelopment
Updated6mo ago
Forks2

Languages

MATLAB

Security Score

67/100

Audited on Oct 5, 2025

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