pyramid_laplacian
-
skimage.transform.pyramid_laplacian(image, max_layer=-1, downscale=2, sigma=None, order=1, mode='reflect', cval=0)
[source] -
Yield images of the laplacian pyramid formed by the input image.
Each layer contains the difference between the downsampled and the downsampled, smoothed image:
layer = resize(prev_layer) - smooth(resize(prev_layer))
Note that the first image of the pyramid will be the difference between the original, unscaled image and its smoothed version. The total number of images is
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.Parameters: image : array
Input image.
max_layer : int
Number of layers for the pyramid. 0th layer is the original image. Default is -1 which builds all possible layers.
downscale : float, optional
Downscale factor.
sigma : float, optional
Sigma for Gaussian filter. Default is
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 : int, optional
Order of splines used in interpolation of downsampling. See
skimage.transform.warp
for detail.mode : {‘reflect’, ‘constant’, ‘edge’, ‘symmetric’, ‘wrap’}, optional
The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’.
cval : float, optional
Value to fill past edges of input if mode is ‘constant’.
Returns: pyramid : generator
Generator yielding pyramid layers as float images.
References
[R378] http://web.mit.edu/persci/people/adelson/pub_pdfs/pyramid83.pdf [R379] http://sepwww.stanford.edu/~morgan/texturematch/paper_html/node3.html
Please login to continue.