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# scipy.ndimage.uniform_filter

`scipy.ndimage.``uniform_filter`(input, size=3, output=None, mode='reflect', cval=0.0, origin=0)

  Multi-dimensional uniform filter.

  Parameters:

  input : array_like

  > Input array to filter.

  size : int or sequence of ints, optional

  > The sizes of the uniform filter are given for each axis as a sequence, or as a single number, in which case the size is equal for all axes.

  output : array, optional

  > The output parameter passes an array in which to store the filter output.

  mode : {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional

  > The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’. Default is ‘reflect’

  cval : scalar, optional

  > Value to fill past edges of input if mode is ‘constant’. Default is 0.0

  origin : scalar, optional

  > The origin parameter controls the placement of the filter. Default 0.0.

  Notes

  The multi-dimensional filter is implemented as a sequence of one-dimensional uniform filters. The intermediate arrays are stored in the same data type as the output. Therefore, for output types with a limited precision, the results may be imprecise because intermediate results may be stored with insufficient precision.