April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Computing the Euler number, eccentricity, and center of mass with mahotas/scikit-image
Perform the following steps to compute different metrics using the mahotas and skimage library functions:
- Read the NASA black hole image (https://www.nasa.gov/sites/default/files/thumbnails/image/blackhole.png) and convert it into a binary image using a manual threshold (t=60). Compute the Euler number for the binary image:
blackhole = mh.imread('images/blackhole.png') blackhole_gray = mh.colors.rgb2grey(blackhole).astype(np.uint8) t = 60 bin_blackhole = (blackhole_gray > t).astype(np.uint8)print(mh.euler(bin_blackhole))# 0.0
- Compute center_of_mass and eccentricity of the binary image:
cms = mh.center_of_mass(bin_blackhole) print('Eccentricity ='
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