📄 transformimage.m
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function [r,g,b] = transformImage(A,Ar,Ac,Nrho,Ntheta,Method,Center,Shape)
% Inputs: A the input image
% Nrho the desired number of rows of transformed image
% Ntheta the desired number of columns of transformed image
% Method interpolation method (nearest,bilinear,bicubic)
% Center origin of input image
% Shape output size (full,valid)
% Class storage class of A
global rho;
theta = linspace(0,2*pi,Ntheta+1); theta(end) = [];
switch Shape
case 'full'
corners = [1 1;Ar 1;Ar Ac;1 Ac];
d = max(sqrt(sum((repmat(Center(:)',4,1)-corners).^2,2)));
case 'valid'
d = min([Ac-Center(1) Center(1)-1 Ar-Center(2) Center(2)-1]);
end
minScale = 1;
rho = logspace(log10(minScale),log10(d),Nrho)'; % default 'base 10' logspace - play with d to change the scale of the log axis
% convert polar coordinates to cartesian coordinates and center
xx = rho*cos(theta) + Center(1);
yy = rho*sin(theta) + Center(2);
if nargout==3
if strcmp(Method,'nearest'), % Nearest neighbor interpolation
r=interp2(A(:,:,1),xx,yy,'nearest');
g=interp2(A(:,:,2),xx,yy,'nearest');
b=interp2(A(:,:,3),xx,yy,'nearest');
elseif strcmp(Method,'bilinear'), % Linear interpolation
r=interp2(A(:,:,1),xx,yy,'linear');
g=interp2(A(:,:,2),xx,yy,'linear');
b=interp2(A(:,:,3),xx,yy,'linear');
elseif strcmp(Method,'bicubic'), % Cubic interpolation
r=interp2(A(:,:,1),xx,yy,'cubic');
g=interp2(A(:,:,2),xx,yy,'cubic');
b=interp2(A(:,:,3),xx,yy,'cubic');
else
error(['Unknown interpolation method: ',method]);
end
% any pixels outside , pad with black
mask= (xx>Ac) | (xx<1) | (yy>Ar) | (yy<1);
r(mask)=NaN;
g(mask)=NaN;
b(mask)=NaN;
else
if strcmp(Method,'nearest'), % Nearest neighbor interpolation
r=interp2(A,xx,yy,'nearest');
elseif strcmp(Method,'bilinear'), % Linear interpolation
r=interp2(A,xx,yy,'linear');
elseif strcmp(Method,'bicubic'), % Cubic interpolation
r=interp2(A,xx,yy,'cubic');
else
error(['Unknown interpolation method: ',method]);
end
% any pixels outside warp, pad with black
mask= (xx>Ac) | (xx<1) | (yy>Ar) | (yy<1);
r(mask)=NaN;
end
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