Fast 2D phase unwrapping

Fast 2D phase unwrapping implementation in MATLAB

https://github.com/mfkasim1/unwrap_phase

Al momento, stai seguendo questo contributo

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/)

Cita come

Firman (2026). Fast 2D phase unwrapping (https://github.com/mfkasim1/unwrap_phase), GitHub. Recuperato .

Riconoscimenti

Ispirato da: 2D Weighted Phase Unwrapping

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release Action
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

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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.