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Computer Vision Toolkit
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CUDA Toolkit
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- Array size
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Updated
Noise
Description
Fills the matrix dst with normally distributed random numbers with the specified mean vector and the standard deviation matrix. The generated random numbers are clipped to fit the value range of the output array data type.β Type : polymorphic.

Input parameters
Image Src : class, type accepted U8, I16, RGB and HSL.
mean : float, specifies the mean value (expectation) of the generated random numbers.
stddev : float, specifies the standard deviation of the generated random numbers.
Output parameters
Image Dst : class
Examples
All these examples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install Computer Vision βlibrary to run it).
Table of Contents
