gauss_distribution🔗
Short description🔗
gauss_distribution — Generate a Gaussian noise distribution.
Signature🔗
gauss_distribution( real Sigma, out distribution.values Distribution )
Description🔗
gauss_distribution generates a Gaussian noise
distribution. The parameter Sigma determines the noise’s
standard deviation. Usually, the result Distribution is
used as input for the operator add_noise_distribution.
Execution information🔗
Execution information
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Multithreading type: reentrant (runs in parallel with non-exclusive operators).
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Multithreading scope: global (may be called from any thread).
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Processed without parallelization.
Parameters🔗
Sigma (input_control) real → (real)
Standard deviation of the Gaussian noise distribution.
Default: 2.0
Suggested values: 1.5, 2.0, 3.0, 5.0, 10.0
Value range: 0.0 ≤ Sigma ≤ 100.0
Minimum increment: 0.1
Recommended increment: 1.0
Distribution (output_control) distribution.values-array → (real)
Resulting Gaussian noise distribution.
Number of elements: 513
Example🔗
(HDevelop)
read_image(Image,'fabrik')
dev_display (Image)
gauss_distribution(30,Dist)
add_noise_distribution(Image,ImageNoise,Dist)
dev_display (ImageNoise)
read_image(&Image,"fabrik")\;
disp_image(Image,WindowHandle)\;
set_d(Sigma,30.0,0)\;
T_gauss_distribution(Sigma,&Dist)\;
T_add_noise_distribution(Image,&ImageNoise,Dist)\;
disp_image(ImageNoise,WindowHandle)\;
Combinations with other operators🔗
Module🔗
Foundation