April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Morphological image filters with mahotas
Perform the following steps to see the result of applying a few morphological image filters using mahotas library functions again:
- Read the color mandelbrot (fractal) image, convert it into grayscale, and then use otsu thresholding to convert it into a binary image:
fractal = mh.imread('images/mandelbrot.jpg')fractal_gray = mh.colors.rgb2grey(fractal).astype(np.uint8)t = mh.otsu(fractal_gray)bin_fractal = (fractal_gray > t).astype(np.uint8)
- Compute the border between the white and black pixels using the following line of code:
mh.border(bin_fractal, 0, 1)
- Compute the regional minimum (with the region defined as a 3 x 3 cross SE around each pixel and taking the whole object into account) using ...
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