pcapsi: Vargas et al.'s Principal Components method for PSI

In mlpeck/zernike: Zernike Polynomials

Vargas et al.'s Principal Components method for PSI

Description

Compute the phase using the Principal components algorithm.

Usage

pcapsi(im.mat, bgsub = TRUE, group_diag = "v")

Arguments

im.mat	A matrix of interferogram values
bgsub	Boolean - subtract the pixelwise mean as background estimate?
pcalg	controls treatment of singular values of the data matrix

Details

Images are input into an array by load.images. This must be reshaped into a matrix for this function. Also, a mask should be applied if available prior to the call.

Value

A list containing the following elements:

phi	The wrapped phase estimate. This is a vector as long as the number of rows in im.mat.
mod	Modulation estimate.
phases	Phase shift estimates.
wt	implied least squares weights.
snr	An estimate of the signal to noise ratio in the input data.
eigen	Singular values of the crossproduct matrix.

Author(s)

M.L. Peck [e-mail]

References

J. Vargas, J. Antonio Quiroga, and T. Belenguer, “Phase-shifting interferometry based on principal component analysis,” Opt. Lett. 36, 1326-1328 (2011) http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-36-8-1326

J. Vargas, J. Antonio Quiroga, and T. Belenguer, “Analysis of the principal component algorithm in phase-shifting interferometry,” Opt. Lett. 36, 2215-2217 (2011) http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-36-12-2215

See Also

psifit,

mlpeck/zernike documentation built on April 19, 2024, 3:16 p.m.