% MONOFILT - Apply monogenic filters to an image to obtain 2D analytic signal
%
% Implementation of Felsberg's monogenic filters
%
% Usage: [f, h1f, h2f, A, theta, psi] = ...
% monofilt(im, nscale, minWaveLength, mult, sigmaOnf, orientWrap)
% 3 4 2 0.65 1/0
% Arguments:
% The convolutions are done via the FFT. Many of the parameters relate
% to the specification of the filters in the frequency plane.
%
% Variable Suggested Description
% name value
% ----------------------------------------------------------
% im Image to be convolved.
% nscale = 3; Number of filter scales.
% minWaveLength = 4; Wavelength of smallest scale filter.
% mult = 2; Scaling factor between successive filters.
% sigmaOnf = 0.65; Ratio of the standard deviation of the
% Gaussian describing the log Gabor filter's
% transfer function in the frequency domain
% to the filter center frequency.
% orientWrap 1/0 Optional flag 1/0 to turn on/off
% 'wrapping' of orientation data from a
% range of -pi .. pi to the range 0 .. pi.
% This affects the interpretation of the
% phase angle - see note below. Defaults to 0.
% Returns:
%
% f - cell array of bandpass filter responses with respect to scale.
% h1f - cell array of bandpass h1 filter responses wrt scale.
% h2f - cell array of bandpass h2 filter responses.
% A - cell array of monogenic energy responses.
% theta - cell array of phase orientation responses.
% psi - cell array of phase angle responses.
%
% If orientWrap is 1 (on) theta will be returned in the range 0 .. pi and
% psi (the phase angle) will be returned in the range -pi .. pi. If
% orientWrap is 0 theta will be returned in the range -pi .. pi and psi will
% be returned in the range -pi/2 .. pi/2. Try both options on an image of a
% circle to see what this means!
%
% Experimentation with sigmaOnf can be useful depending on your application.
% I have found values as low as 0.2 (a filter with a *very* large bandwidth)
% to be useful on some occasions.
%
% See also: GABORCONVOLVE
% References:
% Michael Felsberg and Gerald Sommer. "A New Extension of Linear Signal
% Processing for Estimating Local Properties and Detecting Features"
% DAGM Symposium 2000, Kiel
%
% Michael Felsberg and Gerald Sommer. "The Monogenic Signal" IEEE
% Transactions on Signal Processing, 49(12):3136-3144, December 2001
% Copyright (c) 2004-2005 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western Australia
% http://www.csse.uwa.edu.au/
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, subject to the following conditions:
%
% The above copyright notice and this permission notice shall be included in
% all copies or substantial portions of the Software.
%
% The Software is provided "as is", without warranty of any kind.
% October 2004 - Original version.
% May 2005 - Orientation wrapping and code cleaned up.
% August 2005 - Phase calculation improved.
% September 2017 - Changed to use FILTERGRID
function [f, h1f, h2f, A, theta, psi] = ...
monofilt(im, nscale, minWaveLength, mult, sigmaOnf, orientWrap)
if nargin == 5
orientWrap = 0; % Default is no orientation wrapping
end
if nargout > 4
thetaPhase = 1; % Calculate orientation and phase
else
thetaPhase = 0; % Only return filter outputs
end
[rows,cols] = size(im);
IM = fft2(double(im));
% Generate horizontal and vertical frequency grids that vary from
% -0.5 to 0.5
[radius, u1, u2] = filtergrid(rows,cols);
% Get rid of the 0 radius value in the middle (at top left corner after
% fftshifting) so that taking the log of the radius, or dividing by the
% radius, will not cause trouble.
radius(1,1) = 1;
H1 = i*u1./radius; % The two monogenic filters in the frequency domain
H2 = i*u2./radius;
% The two monogenic filters H1 and H2 are oriented in frequency space
% but are not selective in terms of the magnitudes of the
% frequencies. The code below generates bandpass log-Gabor filters
% which are point-wise multiplied by H1 and H2 to produce different
% bandpass versions of H1 and H2
for s = 1:nscale
wavelength = minWaveLength*mult^(s-1);
fo = 1.0/wavelength; % Centre frequency of filter.
logGabor = exp((-(log(radius/fo)).^2) / (2 * log(sigmaOnf)^2));
logGabor(1,1) = 0; % undo the radius fudge.
% Generate bandpass versions of H1 and H2 at this scale
H1s = H1.*logGabor;
H2s = H2.*logGabor;
% Apply filters to image in the frequency domain and get spatial
% results
f{s} = real(ifft2(IM.*logGabor));
h1f{s} = real(ifft2(IM.*H1s));
h2f{s} = real(ifft2(IM.*H2s));
A{s} = sqrt(f{s}.^2 + h1f{s}.^2 + h2f{s}.^2); % Magnitude of Energy.
% If requested calculate the orientation and phase angles
if thetaPhase
theta{s} = atan2(h2f{s}, h1f{s}); % Orientation.
% Here phase is measured relative to the h1f-h2f plane as an
% 'elevation' angle that ranges over +- pi/2
psi{s} = atan2(f{s}, sqrt(h1f{s}.^2 + h2f{s}.^2));
if orientWrap
% Wrap orientation values back into the range 0-pi
negind = find(theta{s}<0);
theta{s}(negind) = theta{s}(negind) + pi;
% Where orientation values have been wrapped we should
% adjust phase accordingly **check**
psi{s}(negind) = pi-psi{s}(negind);
morethanpi = find(psi{s}>pi);
psi{s}(morethanpi) = psi{s}(morethanpi)-2*pi;
end
end
end