gen_gauss_filtergen_gauss_filterGenGaussFilterGenGaussFiltergen_gauss_filter (Operator)
Name
gen_gauss_filtergen_gauss_filterGenGaussFilterGenGaussFiltergen_gauss_filter — Generate a Gaussian filter in the frequency domain.
Signature
Herror gen_gauss_filter(Hobject* ImageGauss, double Sigma1, double Sigma2, double Phi, const char* Norm, const char* Mode, const Hlong Width, const Hlong Height)
Herror T_gen_gauss_filter(Hobject* ImageGauss, const Htuple Sigma1, const Htuple Sigma2, const Htuple Phi, const Htuple Norm, const Htuple Mode, const Htuple Width, const Htuple Height)
void GenGaussFilter(HObject* ImageGauss, const HTuple& Sigma1, const HTuple& Sigma2, const HTuple& Phi, const HTuple& Norm, const HTuple& Mode, const HTuple& Width, const HTuple& Height)
void HImage::GenGaussFilter(double Sigma1, double Sigma2, double Phi, const HString& Norm, const HString& Mode, Hlong Width, Hlong Height)
void HImage::GenGaussFilter(double Sigma1, double Sigma2, double Phi, const char* Norm, const char* Mode, Hlong Width, Hlong Height)
void HImage::GenGaussFilter(double Sigma1, double Sigma2, double Phi, const wchar_t* Norm, const wchar_t* Mode, Hlong Width, Hlong Height)
(Windows only)
static void HOperatorSet.GenGaussFilter(out HObject imageGauss, HTuple sigma1, HTuple sigma2, HTuple phi, HTuple norm, HTuple mode, HTuple width, HTuple height)
void HImage.GenGaussFilter(double sigma1, double sigma2, double phi, string norm, string mode, int width, int height)
Description
gen_gauss_filtergen_gauss_filterGenGaussFilterGenGaussFilterGenGaussFiltergen_gauss_filter generates a (possibly anisotropic) Gaussian
filter in the frequency domain. The standard deviations (i.e., the
amount of smoothing) of the Gaussian in the spatial domain are
determined by Sigma1Sigma1Sigma1Sigma1sigma1sigma_1 and Sigma2Sigma2Sigma2Sigma2sigma2sigma_2. Sigma1Sigma1Sigma1Sigma1sigma1sigma_1
is the standard deviation in the principal direction of the filter
in the spatial domain determined by the angle PhiPhiPhiPhiphiphi. To
achieve a maximum overall efficiency of the filtering operation, the
parameter NormNormNormNormnormnorm can be used to specify the normalization
factor of the filter. If fft_genericfft_genericFftGenericFftGenericFftGenericfft_generic and NormNormNormNormnormnorm =
'n'"n""n""n""n""n" is used the normalization in the FFT can be avoided.
ModeModeModeModemodemode can be used to determine where the DC term of the
filter lies or whether the filter should be used in the real-valued
FFT. If fft_genericfft_genericFftGenericFftGenericFftGenericfft_generic is used, 'dc_edge'"dc_edge""dc_edge""dc_edge""dc_edge""dc_edge" can be used
to gain efficiency. If fft_imagefft_imageFftImageFftImageFftImagefft_image and fft_image_invfft_image_invFftImageInvFftImageInvFftImageInvfft_image_inv
are used for filtering, NormNormNormNormnormnorm = 'none'"none""none""none""none""none" and
ModeModeModeModemodemode = 'dc_center'"dc_center""dc_center""dc_center""dc_center""dc_center" must be used. If
rft_genericrft_genericRftGenericRftGenericRftGenericrft_generic is used, ModeModeModeModemodemode = 'rft'"rft""rft""rft""rft""rft" must
be used.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Parameters
ImageGaussImageGaussImageGaussImageGaussimageGaussimage_gauss (output_object) image → objectHImageHObjectHImageHobject * (real)
Gaussian filter as image in the frequency domain.
Sigma1Sigma1Sigma1Sigma1sigma1sigma_1 (input_control) real → HTuplefloatHTupleHtuple (real) (double) (double) (double)
Standard deviation of the Gaussian in the
principal direction of the filter in the
spatial domain.
Default value: 1.0
Suggested values: 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.5, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0
Restriction: Sigma1 >= 0
Sigma2Sigma2Sigma2Sigma2sigma2sigma_2 (input_control) real → HTuplefloatHTupleHtuple (real) (double) (double) (double)
Standard deviation of the Gaussian perpendicular
to the principal direction of the filter in the
spatial domain.
Default value: 1.0
Suggested values: 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.5, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0
Restriction: Sigma2 >= 0
PhiPhiPhiPhiphiphi (input_control) angle.rad → HTuplefloatHTupleHtuple (real) (double) (double) (double)
Principal direction of the filter in the
spatial domain.
Default value: 0.0
Suggested values: 0.0, 0.523599, 0.785398, 1.047198, 1.570796, 2.094395, 2.356194, 2.617994, 3.141593
NormNormNormNormnormnorm (input_control) string → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Normalizing factor of the filter.
Default value:
'none'
"none"
"none"
"none"
"none"
"none"
List of values: 'n'"n""n""n""n""n", 'none'"none""none""none""none""none"
ModeModeModeModemodemode (input_control) string → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Location of the DC term in the frequency domain.
Default value:
'dc_center'
"dc_center"
"dc_center"
"dc_center"
"dc_center"
"dc_center"
List of values: 'dc_center'"dc_center""dc_center""dc_center""dc_center""dc_center", 'dc_edge'"dc_edge""dc_edge""dc_edge""dc_edge""dc_edge", 'rft'"rft""rft""rft""rft""rft"
WidthWidthWidthWidthwidthwidth (input_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Width of the image (filter).
Default value: 512
Suggested values: 128, 160, 192, 256, 320, 384, 512, 640, 768, 1024, 2048, 4096, 8192
HeightHeightHeightHeightheightheight (input_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Height of the image (filter).
Default value: 512
Suggested values: 120, 128, 144, 240, 256, 288, 480, 512, 576, 1024, 2048, 4096, 8192
Example (HDevelop)
* Generate a smoothed derivative filter.
gen_gauss_filter (ImageGauss, Sigma, Sigma, 0, 'n', 'dc_edge', 512, 512)
convert_image_type (ImageGauss, ImageGaussComplex, 'complex')
gen_derivative_filter (ImageDerivX, 'x', 1, 'none', 'dc_edge', 512, 512)
mult_image (ImageGaussComplex, ImageDerivX, ImageDerivXGauss, 1, 0)
* Filter an image with the smoothed derivative filter.
fft_generic (Image, ImageFFT, 'to_freq', -1, 'none', 'dc_edge', 'complex')
convol_fft (ImageFFT, ImageDerivXGauss, Filtered)
fft_generic (Filtered, ImageX, 'from_freq', 1, 'none', 'dc_edge', 'real')
Result
gen_gauss_filtergen_gauss_filterGenGaussFilterGenGaussFilterGenGaussFiltergen_gauss_filter returns TRUE if all parameters are correct.
If necessary, an exception is raised.
Possible Predecessors
fft_imagefft_imageFftImageFftImageFftImagefft_image,
fft_genericfft_genericFftGenericFftGenericFftGenericfft_generic,
rft_genericrft_genericRftGenericRftGenericRftGenericrft_generic
Possible Successors
convol_fftconvol_fftConvolFftConvolFftConvolFftconvol_fft
See also
fft_image_invfft_image_invFftImageInvFftImageInvFftImageInvfft_image_inv,
gen_mean_filtergen_mean_filterGenMeanFilterGenMeanFilterGenMeanFiltergen_mean_filter,
gen_derivative_filtergen_derivative_filterGenDerivativeFilterGenDerivativeFilterGenDerivativeFiltergen_derivative_filter,
gen_lowpassgen_lowpassGenLowpassGenLowpassGenLowpassgen_lowpass,
gen_bandpassgen_bandpassGenBandpassGenBandpassGenBandpassgen_bandpass,
gen_bandfiltergen_bandfilterGenBandfilterGenBandfilterGenBandfiltergen_bandfilter,
gen_highpassgen_highpassGenHighpassGenHighpassGenHighpassgen_highpass
Module
Foundation