module-skimage.io
  • References/Python/scikit-image/API Reference/io

Module: io Utilities to read and write images in various formats. The following plug-ins are available: Plugin

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compare-psnr
  • References/Python/scikit-image/API Reference/measure

compare_psnr skimage.measure.compare_psnr(im_true, im_test, dynamic_range=None)

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rgb2grey
  • References/Python/scikit-image/API Reference/color

rgb2grey skimage.color.rgb2grey(rgb)

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skimage-novice
  • References/Python/scikit-image/API Reference/novice

Module: novice

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compare-mse
  • References/Python/scikit-image/API Reference/measure

compare_mse skimage.measure.compare_mse(im1, im2)

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

lena skimage.data.lena(*args, **kwargs)

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skeletonize
  • References/Python/scikit-image/API Reference/morphology

skeletonize skimage.morphology.skeletonize(image)

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cut-normalized
  • References/Python/scikit-image/API Reference/future.graph

cut_normalized skimage.future.graph.cut_normalized(labels, rag, thresh=0.001, num_cuts=10, in_place=True, max_edge=1.0)

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tifffile
  • References/Python/scikit-image/API Reference/external.tifffile

TiffFile class skimage.external.tifffile.TiffFile(arg, name=None, offset=None, size=None, multifile=True, multifile_close=True)

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

PolynomialTransform class skimage.transform.PolynomialTransform(params=None)

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