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% GET_APODIZATION_MASK calculate a 2D circular mask fot smoothing tomogram
%
% [circulo] = get_apodization_mask(tomogram, rad_apod, axial_apod, radial_smooth)
%
% Inputs:
% **tomogram - volume to be apodized
% **rad_apod - number of pixels to be zeroed from edge of the tomogram
% **radial_smooth - smoothness of the apodization in pixels, default = Npix/10
% **layer_dim
% Outputs:
% ++circulo -apodization mask
% Written BY YJ based on apply_3D_apodization.m
function [circulo] = get_apodization_mask(Npix, rad_apod, radial_smooth )
import utils.*
Npix_y = Npix(1);
Npix_x = Npix(2);
Npix = max(Npix_y,Npix_x);
if nargin < 3
radial_smooth = Npix/10;
end
if ~isempty(rad_apod)
xt = -Npix/2:Npix/2-1;
[X,Y] = meshgrid(xt,xt);
radial_smooth = max(radial_smooth,1); % prevent division by zero
circulo= single(1-radtap(X,Y,radial_smooth,round(Npix/2-rad_apod-radial_smooth)));
%size(X)
if Npix_y~=Npix_x
circulo= crop_pad( circulo, [Npix_y,Npix_x]);
end
end
end