specxture.m ( File view )

• By yueqiaohuayuan 2014-11-17
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```			function [srad, sang, S] = specxture(f);
%SPECXTURE Computes spectral texture of an image.
%   [SRAD, SANG, S] = SPECXTURE(F) computes SRAD, the spectral energy
%   distribution as a function of radius from the center of the
%   spectrum, SANG, the spectral energy distribution as a function of
%   angle for 0 to 180 degrees in increments of 1 degree, and S =
%   log(1 + spectrum of f), normalized to the range [0, 1]. The
%   maximum value of radius is min(M,N), where M and N are the number
%   of rows and columns of image (region) f. Thus, SRAD is a row
%   vector of length = (min(M, N)/2) - 1; and SANG is a row vector of
%   length 180.

%   Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins
%   Digital Image Processing Using MATLAB, Prentice-Hall, 2004
%   \$Revision: 1.7 \$  \$Date: 2003/11/21 14:48:47 \$

% Obtain the centered spectrum, S, of f. The variables of S are
% (u, v), running from 1:M and 1:N, with the center (zero frequency)
% at [M/2 + 1, N/2 + 1] (see Chapter 4).
S = fftshift(fft2(f));
S = abs(S);
[M, N] = size(S);
x0 = M/2 + 1;
y0 = N/2 + 1;

% Maximum radius that guarantees a circle centered at (x0, y0) that
% does not exceed the boundaries of S.
rmax = min(M, N)/2 - 1;

% Compute srad.
srad = zeros(1, rmax);
srad(1) = S(x0, y0);
for r = 2:rmax
[xc, yc] = halfcircle(r, x0, y0);
srad(r) = sum(S(sub2ind(size(S), xc, yc)));
end

% Compute sang.
[xc, yc] = halfcircle(rmax, x0, y0);
sang = zeros(1, length(xc));
for a = 1:length(xc)
[xr, yr] = radial(x0, y0, xc(a), yc(a));
sang(a) = sum(S(sub2ind(size(S), xr, yr)));
end

% Output the log of the spectrum for easier viewing, scaled to the
% range [0, 1].
S = mat2gray(log(1 + S));

%-----
...
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