scipy.signal.medfilt2d

scipy.signal.medfilt2d(input, kernel_size=3)

Median filter a 2-dimensional array.

Apply a median filter to the input array using a local window-size given by kernel_size (must be odd). The array is zero-padded automatically.

Parameters

inputarray_like

A 2-dimensional input array.

kernel_sizearray_like, optional

A scalar or a list of length 2, giving the size of the median filter window in each dimension. Elements of kernel_size should be odd. If kernel_size is a scalar, then this scalar is used as the size in each dimension. Default is a kernel of size (3, 3).

Returns

outndarray

An array the same size as input containing the median filtered result.

See also

scipy.ndimage.median_filter

Notes

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.

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