skimage2.util

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Utility functions to work with images in general.

_prescale_value_range	Rescale the value range of image according to the selected mode.
compare_images	Return an image showing the differences between two images.
crop	Crop array ar by crop_width along each dimension.
dtype_limits	Return intensity limits, i.e. (min, max) tuple, of the image's dtype.
img_as_bool	Convert an image to boolean format.
img_as_float	Convert an image to floating point format.
img_as_float32	Convert an image to single-precision (32-bit) floating point format.
img_as_float64	Convert an image to double-precision (64-bit) floating point format.
img_as_int	Convert an image to 16-bit signed integer format.
img_as_ubyte	Convert an image to 8-bit unsigned integer format.
img_as_uint	Convert an image to 16-bit unsigned integer format.
invert	Invert an image.
label_points	Assign unique integer labels to coordinates on an image mask
lookfor	Do a keyword search on scikit-image docstrings and print results.
map_array	Map values from input array from input_vals to output_vals.
montage	Create a montage of several single- or multichannel images.
random_noise	Function to add random noise of various types to a floating-point image.
regular_grid	Find n_points regularly spaced along ar_shape.
regular_seeds	Return an image with ~`n_points` regularly-spaced nonzero pixels.
rescale_legacy	Rescale value range based on dtype (legacy skimage behavior).
rescale_minmax	Min-max normalize image values to the range [0., 1.].
slice_along_axes	Slice an image along given axes.
unique_rows	Remove repeated rows from a 2D array.
view_as_blocks	Block view of the input n-dimensional array (using re-striding).
view_as_windows	Rolling window view of the input n-dimensional array.

apply_parallel