Name
gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage — Smooth using discrete gauss functions.
The operator gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage smoothes images using the discrete
Gaussian. The smoothing effect increases with increasing filter
size. The following filter sizes (SizeSizeSizeSizeSizesize) are supported
(the sigma value of the gauss function is indicated in brackets):
3 (0.65)
5 (0.87)
7 (1.43)
9 (1.88)
11 (2.31)
For border treatment the gray values of the images are reflected at
the image borders.
The operator binomial_filterbinomial_filterBinomialFilterbinomial_filterBinomialFilterBinomialFilter can be used as an alternative
to gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage. binomial_filterbinomial_filterBinomialFilterbinomial_filterBinomialFilterBinomialFilter is significantly
faster than gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage. It should be noted that the mask
size in binomial_filterbinomial_filterBinomialFilterbinomial_filterBinomialFilterBinomialFilter does not lead to the same amount of
smoothing as the mask size in gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage. Corresponding
mask sizes can be determined based on the respective values of the
Gaussian smoothing parameter sigma.
gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage can be executed on OpenCL devices for all supported
image types. However, the OpenCL impelementation can produce slightly
different results from the scalar implementation.
In order to be able to process gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage on on OpenCL device,
ImageImageImageImageImageimage must be at least 64 pixels in both width and height.
- Supports OpenCL compute devices.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Automatically parallelized on tuple level.
- Automatically parallelized on channel level.
- Automatically parallelized on domain level.
Required filter size.
Default value: 5
List of values: 3, 5, 7, 9, 11
gauss_image(Input,Gauss,7)
regiongrowing(Gauss,Segments,7,7,5,100)
gauss_image(Input,&Gauss,7,);
regiongrowing(Gauss,&Segments,7,7,5,100,);
gauss_image(Input,Gauss,7)
regiongrowing(Gauss,Segments,7,7,5,100)
gauss_image(Input,Gauss,7)
regiongrowing(Gauss,Segments,7,7,5,100)
gauss_image(Input,Gauss,7)
regiongrowing(Gauss,Segments,7,7,5,100)
gauss_image(Input,Gauss,7)
regiongrowing(Gauss,Segments,7,7,5,100)
For each pixel: O(Size * 2).
If the parameter values are correct the operator gauss_imagegauss_imageGaussImagegauss_imageGaussImageGaussImage
returns the value 2 (H_MSG_TRUE). The behavior in case of empty input (no
input images available) is set via the operator
set_system('no_object_result',<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>).
If necessary an exception is raised.
read_imageread_imageReadImageread_imageReadImageReadImage,
grab_imagegrab_imageGrabImagegrab_imageGrabImageGrabImage
regiongrowingregiongrowingRegiongrowingregiongrowingRegiongrowingRegiongrowing,
thresholdthresholdThresholdthresholdThresholdThreshold,
sub_imagesub_imageSubImagesub_imageSubImageSubImage,
dyn_thresholddyn_thresholdDynThresholddyn_thresholdDynThresholdDynThreshold,
auto_thresholdauto_thresholdAutoThresholdauto_thresholdAutoThresholdAutoThreshold
binomial_filterbinomial_filterBinomialFilterbinomial_filterBinomialFilterBinomialFilter,
smooth_imagesmooth_imageSmoothImagesmooth_imageSmoothImageSmoothImage,
derivate_gaussderivate_gaussDerivateGaussderivate_gaussDerivateGaussDerivateGauss,
isotropic_diffusionisotropic_diffusionIsotropicDiffusionisotropic_diffusionIsotropicDiffusionIsotropicDiffusion
mean_imagemean_imageMeanImagemean_imageMeanImageMeanImage,
anisotropic_diffusionanisotropic_diffusionAnisotropicDiffusionanisotropic_diffusionAnisotropicDiffusionAnisotropicDiffusion,
sigma_imagesigma_imageSigmaImagesigma_imageSigmaImageSigmaImage,
gen_lowpassgen_lowpassGenLowpassgen_lowpassGenLowpassGenLowpass
Foundation