2-D continuous wavelet transform
uses
additional options specified by one or more Name,Value pair arguments.cwtstruct
= cwtft2(x
,Name,Value
)
Shows how an isotropic wavelet does not discern the orientation of features while an anisotropic wavelet does. The example uses the Mexican hat isotropic wavelet and the directional (anisotropic) Cauchy wavelet.
Load and view the hexagon image.
Im = imread('hexagon.jpg');
imagesc(Im); colormap(jet);
Obtain the scale-one 2-D CWT with both the Mexican hat and Cauchy wavelets. Specify a vector of angles going from 0 to 15?/8 in ?/8 increments.
cwtcauchy = cwtft2(Im,'wavelet','cauchy','scales',1,... 'angles',0:pi/8:2*pi-pi/8); cwtmexh = cwtft2(Im,'wavelet','mexh','scales',1,... 'angles',0:pi/8:2*pi-pi/8);
Visualize the scale-one 2-D CWT coefficient magnitudes at each angle.
angz = {'0', 'pi/8', 'pi/4', '3pi/8', 'pi/2', '5pi/8', '3pi/4', ... '7pi/8','pi', '9pi/8', '5pi/4', '11pi/8', '3pi/2', ... '13pi/8' '7pi/4', '15pi/8'}; for angn = 1:length(angz) subplot(211) imagesc(abs(cwtmexh.cfs(:,:,1,1,angn))); title(['Mexican hat at ' angz(angn) 'radians']); subplot(212) imagesc(abs(cwtcauchy.cfs(:,:,1,1,angn))); title(['Cauchy wavelet at ' angz(angn) 'radians']); pause(1); end
Load an image of a woman, obtain the 2-D CWT using the Morlet wavelet, and plot the CWT coefficients.
load woman; cwtmorl = cwtft2(X,'scales',1:4,'angles',0:pi/2:3*pi/2,'plot');
Obtain the 2-D CWT of the star image using the default Morlet wavelet, scales 2^(0:5)
, and an angle of 0.
Im = imread('star.jpg');
cwtout = cwtft2(Im);
x
— Input dataInput data, specified as a 2-D matrix or 3-D array. If the input data is a 3-D array, the input matrix is a truecolor image.
Example: X = imread('stars.jpg');
Data Types: double
| uint8
Specify optional
comma-separated pairs of Name,Value
arguments. Name
is
the argument name and Value
is the corresponding value.
Name
must appear inside quotes. You can specify several name and value
pair arguments in any order as
Name1,Value1,...,NameN,ValueN
.
'wavelet','paul','scales',2^(0:5)
specifies
to use the Paul wavelet and a vector of scales.'angles'
— AnglesAngles in radians, specified as a comma-separated pair consisting
of 'angles'
and either a scalar or a vector.
Example: 'angles',[0 pi/2 pi]
'norm'
— Normalization'L2'
(default) | 'L1'
| 'L0'
Normalization used in the 2-D CWT, specified as a comma-separated
pair consisting of 'norm'
and one of these character
vectors:
'L2'
— The Fourier transform
of the analyzing wavelet at a given scale is multiplied by the corresponding
scale. 'L2'
is the default normalization.
'L1'
— The Fourier transform
of the analyzing wavelet is multiplied by 1 at all scales.
'L0'
— The Fourier transform of
the analyzing wavelet at a given scale is multiplied by the
square of the corresponding scale.
Example: 'norm','L1'
'scales'
— Scales2^(0:5)
(default) | scalar | vectorScales, specified as a comma-separated pair consisting of 'scales'
and
either a positive real-valued scalar or a vector of positive real
numbers.
Example: 'scales',2^(1:6)
'wavelet'
— Analyzing wavelet'morl'
(default) | character vector | string scalar | structure | cell arrayAnalyzing wavelet, specified as a comma-separated pair consisting of
'wavelet'
and a character vector, a string
scalar, a structure, or a cell array. cwtftinfo2
provides a
comprehensive list of supported wavelets and associated
parameters.
If you specify 'wavelet'
as a structure,
the structure must contain two fields:
name
— the character vector or
string scalar corresponding to a supported wavelet.
param
— a cell array with
the parameters of the wavelet.
If you specify 'wavelet'
as a cell array, wav
,
the cell array must contain two elements:
wav{1}
— the character vector or
string scalar corresponding to a supported wavelet.
wav{2}
— a cell array with
the parameters of the wavelet.
Example: 'wavelet',{'morl',{6,1,1}}
Example: 'wavelet',struct('name','paul','param',{'p',2})
cwtstruct
— 2-D CWT The 2-D CWT, returned as a structure with the following fields:
wav
— Analyzing wavelet and parametersAnalyzing wavelet and parameters, returned as a structure with the following fields:
wname
— name
param
— parameters
wav_norm
— Normalization constantsNormalization constants, returned as a M-by-N matrix where M is the number of scales and N is the number of angles.
cfs
— CWT coefficientsCWT coefficients, returned as an N-D array. The row and column dimensions of the array equal the row and column dimensions of the input data. The third page of the array is equal to 1 or 3 depending on whether the input data is a grayscale or truecolor image. The fourth page of the array is equal to the number of scales and the fifth page of the array is equal to the number of angles.
scales
— ScalesScales for the 2-D CWT, returned as a row vector.
angles
— AnglesAngles for the 2-D CWT, returned as a row vector.
meanSIG
— MeanMean of the input data, returned as a scalar
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