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110 lines
4.3 KiB
Matlab
110 lines
4.3 KiB
Matlab
% IMSHIFT_LINEAR_AX will apply shift that can be different for
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% each frame along axis ax
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% + compared to imshift_fft, it does not have periodic boundary
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% + it is based on linear interpolation, so it can be run fast on GPU
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% + integer shift is equivalent to imshift_fft (up to the boundary condition)
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% - it needs for-loop for each frame -> it gets slow on GPU for
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% shifting my small images. In that case imshift_fft can be faster.
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%
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% img = imshift_linear(img, x,y, method)
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%
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% Inputs:
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% **img input image / stack of images
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% **shift applied shift or vector of shifts for each frame
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% **ax axis along which the shift will be performed
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% **method choose interpolation method: nearest, {linear}, cubic , circ
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% **extrap_val filling value for the missing regions after interpolation (default=nan)
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%
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% returns:
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% ++img shifted image / stack of images
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%
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% see also: utils.imshift_fast, utils.imshift_fft
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%*-----------------------------------------------------------------------*
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%| |
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%| Except where otherwise noted, this work is licensed under a |
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%| Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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%| International (CC BY-NC-SA 4.0) license. |
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%| |
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%| Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch) |
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%| |
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%| Author: CXS group, PSI |
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%*-----------------------------------------------------------------------*
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% You may use this code with the following provisions:
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%
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% If the code is fully or partially redistributed, or rewritten in another
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% computing language this notice should be included in the redistribution.
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%
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% If this code, or subfunctions or parts of it, is used for research in a
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% publication or if it is fully or partially rewritten for another
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% computing language the authors and institution should be acknowledged
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% in written form in the publication: “Data processing was carried out
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% using the “cSAXS matlab package” developed by the CXS group,
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% Paul Scherrer Institut, Switzerland.”
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% Variations on the latter text can be incorporated upon discussion with
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% the CXS group if needed to more specifically reflect the use of the package
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% for the published work.
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%
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% A publication that focuses on describing features, or parameters, that
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% are already existing in the code should be first discussed with the
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% authors.
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%
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% This code and subroutines are part of a continuous development, they
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% are provided “as they are” without guarantees or liability on part
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% of PSI or the authors. It is the user responsibility to ensure its
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% proper use and the correctness of the results.
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function img_out = imshift_linear_ax(img, shift, ax, method, extrap_val)
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if nargin < 4
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method = 'linear';
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end
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if nargin < 5
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extrap_val = nan;
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end
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if all(shift == 0)
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img_out=img;
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return
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end
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Npix = size(img);
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img = single(img);
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img = shiftdim(img, ax-1);
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img_out = img;
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ind = {':',':',':'}; % assume max 3 dim
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ax_0 = 1+mod(ax,ndims(img)); % fixed axis
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if strcmpi(method, 'circ')
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% apply NN shift with circular condition
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for i = 1:Npix(ax_0)
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ind{ax_0} = i;
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img_out(ind{:}) = circshift(img(ind{:}), round(shift(i)), ax);
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end
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else
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for ii = 1:Npix(ax_0)
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ind{ax_0} = ii;
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img_out(ind{:}) = interp1(1:size(img,1), img(ind{:}), -shift(ii)+(1:size(img,1)), method, extrap_val);
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end
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end
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img_out = shiftdim(img_out, ax-1);
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end
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