Fast 2D phase unwrapping

Versión 1.1.0.0 (4,24 KB) por Firman
Fast 2D phase unwrapping implementation in MATLAB
3,9K descargas
Actualizado 26 ago 2021

Fast unwrapping 2D phase image using the algorithm given in:
M. A. Herraez, D. R. Burton, M. J. Lalor, and M. A. Gdeisat, "Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path", Applied Optics, Vol. 41, Issue 35, pp. 7437-7444 (2002).

Features and advantages:

* Fast algorithm (takes approx. 0.5s to unwrap 512x512 non-noisy and noisy image in my computer)
* Support ignored regions, by setting NaN to the ignored regions.

If using this code for publication, please kindly cite the following:

* M. A. Herraez, D. R. Burton, M. J. Lalor, and M. A. Gdeisat, "Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path", Applied Optics, Vol. 41, Issue 35, pp. 7437-7444 (2002).
* M. F. Kasim, "Fast 2D phase unwrapping implementation in MATLAB", https://github.com/mfkasim91/unwrap_phase/ (2017).

This algorithm is also available from GitHub (https://github.com/mfkasim91/unwrap_phase/)

Citar como

Firman (2024). Fast 2D phase unwrapping (https://github.com/mfkasim1/unwrap_phase), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2013a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Agradecimientos

Inspirado por: 2D Weighted Phase Unwrapping

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Versión Publicado Notas de la versión
1.1.0.0

Further optimizing the performance by:

* reducing cell operations, and
* only change the smallest group.

The result is it is now around 2x as fast for no-noise case, and much faster in noisy case (more than 5x faster).

1.0.0.0

Update the description
Minor update
Update the description (very minor update)

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Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.