cupyx.scipy.signal.medfilt#
- cupyx.scipy.signal.medfilt(volume, kernel_size=None)[source]#
Perform a median filter on an N-dimensional array.
Apply a median filter to the input array using a local window-size given by kernel_size. The array will automatically be zero-padded.
- Parameters:
volume (cupy.ndarray) – An N-dimensional input array.
kernel_size (int or list of ints) – Gives 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 size is 3 for each dimension.
- Returns:
An array the same size as input containing the median filtered result.
- Return type:
See also
See also