forward(data, impulse_response=None, filter_params={}, predefined_filter=None)

Other Parameters

predefined_filter : LPIFilter2D

If you need to apply the same filter multiple times over different images, construct the LPIFilter2D and specify it here.

Parameters

data : (M,N) ndarray

Input data.

impulse_response : callable `f(r, c, **filter_params)`

Impulse response of the filter. See LPIFilter2D.__init__.

filter_params : dict

Additional keyword parameters to the impulse_response function.

Apply the given filter to data.

Examples

Gaussian filter:

This example is valid syntax, but we were not able to check execution

>>> def filt_func(r, c):
...     return np.exp(-np.hypot(r, c)/1)
>>>

This example is valid syntax, but we were not able to check execution

>>> from skimage import data
... filtered = forward(data.coins(), filt_func)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.filters.lpi_filter.forward

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