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

Module: color

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pop-bilateral
  • References/Python/scikit-image/API Reference/filters.rank

pop_bilateral skimage.filters.rank.pop_bilateral(image, selem, out=None, mask=None, shift_x=False, shift_y=False, s0=10

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

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

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

RAG class skimage.future.graph.RAG(label_image=None, connectivity=1, data=None, **attr)

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plugin-order
  • References/Python/scikit-image/API Reference/io

plugin_order skimage.io.plugin_order()

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corner-shi-tomasi
  • References/Python/scikit-image/API Reference/feature

corner_shi_tomasi skimage.feature.corner_shi_tomasi(image, sigma=1)

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

Module: viewer.widgets Widgets for interacting with ImageViewer. These widgets should be added to a Plugin subclass using its add_widget

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

reconstruction skimage.morphology.reconstruction(seed, mask, method='dilation', selem=None, offset=None)

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

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

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How to parallelize loops
  • References/Python/scikit-image/Guide

How to parallelize loops In image processing, we frequently apply the same algorithm on a large batch of images. In this paragraph, we propose to use

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