Gabor Image Features
Updated 30 Oct 2012
% 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);
% 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
% 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.
% 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
% Copyright (c) 1996-2005 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western Australia
% 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.
Manohar (2023). Gabor Image Features (https://www.mathworks.com/matlabcentral/fileexchange/38844-gabor-image-features), MATLAB Central File Exchange. Retrieved .
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