to perform iris normalisation

Antworten (2)

omar mohamed
omar mohamed am 10 Dez. 2012
Bearbeitet: Walter Roberson am 29 Jun. 2017

0 Stimmen

function imP = ImToPolar (imR, rMin, rMax, M, N)
% IMTOPOLAR converts rectangular image to polar form. The output image is
% an MxN image with M points along the r axis and N points along the theta
% axis. The origin of the image is assumed to be at the center of the given
% image. The image is assumed to be grayscale.
% Bilinear interpolation is used to interpolate between points not exactly
% in the image.
%
% rMin and rMax should be between 0 and 1 and rMin < rMax. r = 0 is the
% center of the image and r = 1 is half the width or height of the image.
%
% V0.1 7 Dec 2007 (Created), Prakash Manandhar pmanandhar@umassd.edu
[Mr Nr] = size(imR); % size of rectangular image
Om = (Mr+1)/2; % co-ordinates of the center of the image
On = (Nr+1)/2;
sx = (Mr-1)/2; % scale factors
sy = (Nr-1)/2;
imP = zeros(M, N);
delR = (rMax - rMin)/(M-1);
delT = 2*pi/N;
% loop in radius and
for ri = 1:M
for ti = 1:N
r = rMin + (ri - 1)*delR;
t = (ti - 1)*delT;
x = r*cos(t);
y = r*sin(t);
xR = x*sx + Om;
yR = y*sy + On;
imP (ri, ti) = interpolate (imR, xR, yR);
end
end
function v = interpolate (imR, xR, yR)
xf = floor(xR);
xc = ceil(xR);
yf = floor(yR);
yc = ceil(yR);
if xf == xc & yc == yf
v = imR (xc, yc);
elseif xf == xc
v = imR (xf, yf) + (yR - yf)*(imR (xf, yc) - imR (xf, yf));
elseif yf == yc
v = imR (xf, yf) + (xR - xf)*(imR (xc, yf) - imR (xf, yf));
else
A = [ xf yf xf*yf 1
xf yc xf*yc 1
xc yf xc*yf 1
xc yc xc*yc 1 ];
r = [ imR(xf, yf)
imR(xf, yc)
imR(xc, yf)
imR(xc, yc) ];
a = A\double(r);
w = [xR yR xR*yR 1];
v = w*a;
end
end

3 Kommentare

pawarcse
pawarcse am 29 Jun. 2017
Sir can you please tell us what should be the value of Mr and Nr??
Walter Roberson
Walter Roberson am 29 Jun. 2017
Mr and Nr will be assigned the size of the input image iMR.
Note: iMR should be 2D (grayscale) not RGB.
pawarcse
pawarcse am 4 Jul. 2017
Thank you very much sir!!

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