pyramid_gaussian(image, max_layer=-1, downscale=2, sigma=None, order=1, mode='reflect', cval=0, multichannel=False, preserve_range=False)
Recursively applies the pyramid_reduce
function to the image, and yields the downscaled images.
Note that the first image of the pyramid will be the original, unscaled image. The total number of images is :None:None:`max_layer + 1`. In case all layers are computed, the last image is either a one-pixel image or the image where the reduction does not change its shape.
Input image.
Number of layers for the pyramid. 0th layer is the original image. Default is -1 which builds all possible layers.
Downscale factor.
Sigma for Gaussian filter. Default is :None:None:`2 * downscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution.
Order of splines used in interpolation of downsampling. See skimage.transform.warp
for detail.
The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'.
Value to fill past edges of input if mode is 'constant'.
Whether the last axis of the image is to be interpreted as multiple channels or another spatial dimension.
Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of img_as_float
. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html
Generator yielding pyramid layers as float images.
Yield images of the Gaussian pyramid formed by the input image.
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