November 2018
Intermediate to advanced
492 pages
12h 19m
English
Content preview from Hands-On Image Processing with Python
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Morphological contrast enhancement
The morphological contrast enhancement filter operates on each pixel by considering only the pixels in a neighborhood defined by a structuring element. It replaces the central pixel either by the local minimum or the local maximum pixel in the neighborhood, depending on which one the original pixel is closest to. The following code block shows a comparison of the output obtained using the morphological contrast enhancement filter and the exposure module's adaptive histogram equalization, with both the filters being local:
from skimage.filters.rank import enhance_contrastdef plot_gray_image(ax, image, title): ax.imshow(image, vmin=0, vmax=255, cmap=pylab.cm.gray), ax.set_title(title), ax.axis('off') ax.set_adjustable('box-forced') ...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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