November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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Dilation
Dilation is another basic morphological operation that expands the size of the foreground objects, smooths object boundaries, and closes holes and gaps in a binary image. This is a dual operation of erosion. The following code snippet shows how to use the binary_dilation() function on Tagore's binary image with a disk structuring elements of different sizes:
from skimage.morphology import binary_dilation, diskfrom skimage import img_as_floatim = img_as_float(imread('../images/tagore.png'))im = 1 - im[...,3]im[im <= 0.5] = 0im[im > 0.5] = 1pylab.gray()pylab.figure(figsize=(18,9))pylab.subplot(131)pylab.imshow(im)pylab.title('original', size=20)pylab.axis('off')for d in range(1,3): pylab.subplot(1,3,d+1) im1 = binary_dilation(im, disk(2*d)) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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