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Gaussian Blur
Perform Gaussian smoothing on input image(s) by separable convolution with discrete gaussian kernels.
Inputs
Input
Input image(s).
Type: Image, List, Required, Single
Outputs
Output
Output image(s).
Type: Image, List
Settings
Configure
Std Dev [px] Numbers
The standard deviation of the Gaussian kernel in voxels, specified as [i, j, k].
Std Dev [mm] Numbers
The standard deviation of the Gaussian kernel in mm, specified as [x, y, z].
Unit Selection Selection
Select the unit of the kernel.
Values: px, mm
Advanced
Maximum Kernel Error Decimal Number Array
The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than the Maximum Kernel Error.
Maximum Kernel Size [px] Integer
Set the kernel to be no wider than MaximumKernelWidth pixels, even if the Maximum Kernel Error demands it.
See also
Keywords:
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