1D Gaussian filter kernel.
The Gaussian filter is a filter with great smoothing properties. It is isotropic and does not produce artifacts.
Standard deviation of the Gaussian kernel.
Size of the kernel array. Default = ⌊8*stddev+1⌋.
- One of the following discretization modes:
- ‘center’ (default)
Discretize model by taking the value at the center of the bin.
Discretize model by linearly interpolating between the values at the corners of the bin.
Discretize model by taking the average on an oversampled grid.
Discretize model by integrating the model over the bin. Very slow.
- factornumber, optional
Factor of oversampling. Default factor = 10. If the factor is too large, evaluation can be very slow.