POCShift

Estimates the translation between two noisy images with phase-only correlation.
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Actualizado 27 oct 2014

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Phase-only correlation is broadly used to correct pure translation shift between two images. This code uses a frequency domain-filtering to handle noise.
Usage:
shift=POCShift(fixed, moving); % for a max cut-off of 60%
shift=POCShift(fixed, moving, C); % with 0<C<1 for a max cut-off of 100*C%
shift=POCShift(fixed, moving, 0); % to disable filtering

'fixed' and 'moving' must be of consistent size.
The algorithm works as follows:

1. The FFT of both images is calculated as well as the normalized cross spectrum R.
2. The inverse Fourier transform r of a low-pass filtered R is computed with a cut-off frequency varying from 5% to 'cutoff' (default is 60%). Use cutoff=0 to disable filtering.
3. The translation is computed from the position of the peak in r
Ref: Takita et al. High-accuracy subpixel image registration based on phase-only correlation IEICE transactions on fundamentals of electronics, communications and computer sciences 86(8), 1925-1934, 2003.

Citar como

Jérémie Guignard (2024). POCShift (https://www.mathworks.com/matlabcentral/fileexchange/46978-pocshift), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2013a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Más información sobre Geometric Transformation and Image Registration en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: ExtPhaseCorrelation

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Versión Publicado Notas de la versión
1.2.0.0

Input parser added for robustness.

1.1.0.0

Fixed description formatting, added to watch list.

1.0.0.0