The Gaussian pyramid from an input image can be computed using the scikit-image.transform.pyramid module's pyramid_gaussian() function. Starting with the original image, the function calls the pyramid_reduce() function to obtain the smoothed and down-sampled images recursively. The following code block demonstrates how to compute and display such a Gaussian pyramid with the lena RGB input image:
from skimage.transform import pyramid_gaussianimage = imread('../images/lena.jpg')nrows, ncols = image.shape[:2]pyramid = tuple(pyramid_gaussian(image, downscale=2))pylab.figure(figsize=(20,5))i, n = 1, len(pyramid)for p in pyramid: pylab.subplot(1,n,i), pylab.imshow(p) pylab.title(str(p.shape[0]) ...
