scipy.ndimage.filters.gaussian_filter高斯滤波(高斯模糊)

scipy.ndimage.filters.gaussian_filter

scipy.ndimage.filters.gaussian_filter(inputsigmaorder=0output=Nonemode='reflect'cval=0.0truncate=4.0)[source]

Parameters:

input : array_like

Input array to filter.

sigma : scalar or sequence of scalars

Standard deviation for Gaussian kernel. The standard deviations of the Gaussian filter are given for each axis as a sequence, or as a single number, in which case it is equal for all axes.

order : {0, 1, 2, 3} or sequence from same set, optional

The order of the filter along each axis is given as a sequence of integers, or as a single number. An order of 0 corresponds to convolution with a Gaussian kernel. An order of 1, 2, or 3 corresponds to convolution with the first, second or third derivatives of a Gaussian. Higher order derivatives are not implemented

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

truncate : float

Truncate the filter at this many standard deviations. Default is 4.0.

Returns:

gaussian_filter : ndarray

Returned array of same shape as input.

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