资源简介
是单演信号的matlab实现,详情请参见我的博客中的描述,仅用于大家学习,请勿用于商业开发。
代码片段和文件信息
% 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 sof
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