medfilt2d(input, kernel_size=3)
Apply a median filter to the :None:None:`input` array using a local window-size given by :None:None:`kernel_size` (must be odd). The array is zero-padded automatically.
This is faster than medfilt
when the input dtype is uint8
, float32
, or float64
; for other types, this falls back to medfilt
; you should use scipy.ndimage.median_filter
instead as it is much faster. In some situations, scipy.ndimage.median_filter
may be faster than this function.
A 2-dimensional input array.
A scalar or a list of length 2, giving the size of the median filter window in each dimension. Elements of :None:None:`kernel_size` should be odd. If :None:None:`kernel_size` is a scalar, then this scalar is used as the size in each dimension. Default is a kernel of size (3, 3).
An array the same size as input containing the median filtered result.
Median filter a 2-dimensional array.
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._signaltools.medfilt
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