enhance-contrast
  • References/Python/scikit-image/API Reference/filters.rank

enhance_contrast skimage.filters.rank.enhance_contrast(image, selem, out=None, mask=None, shift_x=False, shift_y=False)

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xyz2lab
  • References/Python/scikit-image/API Reference/color

xyz2lab skimage.color.xyz2lab(xyz, illuminant='D65', observer='2')

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block-reduce
  • References/Python/scikit-image/API Reference/measure

block_reduce skimage.measure.block_reduce(image, block_size, func=, cval=0)

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rescale
  • References/Python/scikit-image/API Reference/transform

rescale skimage.transform.rescale(image, scale, order=1, mode='constant', cval=0, clip=True, preserve_range=False)

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slider
  • References/Python/scikit-image/API Reference/viewer.widgets

Slider class skimage.viewer.widgets.Slider(name, low=0.0, high=1.0, value=None, value_type='float', ptype='kwarg', callback=None

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plot-matches
  • References/Python/scikit-image/API Reference/feature

plot_matches skimage.feature.plot_matches(ax, image1, image2, keypoints1, keypoints2, matches, keypoints_color='k', matches_color=None

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felzenszwalb
  • References/Python/scikit-image/API Reference/segmentation

felzenszwalb skimage.segmentation.felzenszwalb(image, scale=1, sigma=0.8, min_size=20)

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dtype-limits
  • References/Python/scikit-image/API Reference/skimage

dtype_limits skimage.dtype_limits(image, clip_negative=True)

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horse
  • References/Python/scikit-image/API Reference/data

horse skimage.data.horse()

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unsupervised-wiener
  • References/Python/scikit-image/API Reference/restoration

unsupervised_wiener skimage.restoration.unsupervised_wiener(image, psf, reg=None, user_params=None, is_real=True,

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