Gabor Image Features

Computation of Gabor Features - Mean Squared Energy, Mean Amplitude

% PHASESYM - Function for computing gabor features of a gray-scale image
%
% This function calculates gabor features. Mean-squared energy & meanAmplitude
% for each scale % and orientation is returned.
%
% There are potentially many arguments, here is the full usage:
%
% [gaborSquareEnergy, gaborMeanAmplitude] = ...
% phasesym(im, nscale, norient )
%NOTE: nscale & norient are optional arguments

%
% However, apart from the image, all parameters have defaults and the
% usage can be as simple as:
%
% [gaborSquareEnergy, gaborMeanAmplitude ]= phasesym(im);
%
% Arguments:
% Default values Description
%
% nscale 5 - Number of wavelet scales, try values 3-6
% norient 6 - Number of filter orientations.
%
% Return values:
% msEnergy - Mean square energy
% orientation - Mean amplitude

%
% The convolutions are done via the FFT. Many of the parameters relate to the
% specification of the filters in the frequency plane. The values do not seem
% to be very critical and the defaults are usually fine. You may want to
% experiment with the values of 'nscales' and 'k', the noise compensation factor.
%
%
% For maximum speed the input image should have dimensions that correspond to
% powers of 2, but the code will operate on images of arbitrary size.
%
% See Also: PHASECONG, PHASECONG2, GABORCONVOLVE, PLOTGABORFILTERS

% References:
% Peter Kovesi, "Symmetry and Asymmetry From Local Phase" AI'97, Tenth
% Australian Joint Conference on Artificial Intelligence. 2 - 4 December
% 1997. http://www.cs.uwa.edu.au/pub/robvis/papers/pk/ai97.ps.gz.
%
% Peter Kovesi, "Image Features From Phase Congruency". Videre: A
% Journal of Computer Vision Research. MIT Press. Volume 1, Number 3,
% Summer 1999 http://mitpress.mit.edu/e-journals/Videre/001/v13.html
%
% Kuse, Manohar, Yi-Fang Wang, Vinay Kalasannavar, Michael Khan, and Nasir Rajpoot.
% "Local isotropic phase symmetry measure for detection of beta cells and lymphocytes."
% Journal of Pathology Informatics 2 (2011).
%
% Naik, S., et al. Automated gland and nuclei segmentation for grading of prostate and breast
% cancer histopathology. in IEEE International Symposium on Biomedical Imaging (ISBI). 2008.
% IEEE.
%

% April 1996 Original Version written
% August 1998 Noise compensation corrected.
% October 1998 Noise compensation corrected. - Again!!!
% September 1999 Modified to operate on non-square images of arbitrary size.
% February 2001 Specialised from phasecong.m to calculate phase symmetry
% July 2005 Better argument handling + general cleanup and speed improvements
% August 2005 Made Octave compatible.
% January 2007 Small correction and cleanup of radius calculation for odd
% image sizes.
% May 2011 Modified by manohar kuse to for compuation of Isotropic Phase Symmetry
% Oct 2012 Modified by manohar kuse to for computation of sqare energy and mean amplitude gabor features

% Copyright (c) 2011-2012 Manohar Kuse
% European Center for Nuclear Reseach
% CERN, Geneva, Switzerland
% http://cern.ch/mkuse

% Copyright (c) 1996-2005 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.