skimage#
Image Processing for Python
scikit-image (a.k.a. skimage) is a collection of algorithms for image
processing and computer vision.
The main package of skimage only provides a few utilities for converting
between image data types; for most features, you need to import one of the
following subpackages:
Subpackages#
- color
Color space conversion.
- data
Test images and example data.
- draw
Drawing primitives (lines, text, etc.) that operate on NumPy arrays.
- exposure
Image intensity adjustment, e.g., histogram equalization, etc.
- feature
Feature detection and extraction, e.g., texture analysis corners, etc.
- filters
Sharpening, edge finding, rank filters, thresholding, etc.
- graph
Graph-theoretic operations, e.g., shortest paths.
- io
Reading, saving, and displaying images and video.
- measure
Measurement of image properties, e.g., region properties and contours.
- metrics
Metrics corresponding to images, e.g. distance metrics, similarity, etc.
- morphology
Morphological operations, e.g., opening or skeletonization.
- restoration
Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.
- segmentation
Partitioning an image into multiple regions.
- transform
Geometric and other transforms, e.g., rotation or the Radon transform.
- util
Generic utilities.
Utility Functions#
- img_as_float
Convert an image to floating point format, with values in [0, 1]. Is similar to
img_as_float64, but will not convert lower-precision floating point arrays to float64.- img_as_float32
Convert an image to single-precision (32-bit) floating point format, with values in [0, 1].
- img_as_float64
Convert an image to double-precision (64-bit) floating point format, with values in [0, 1].
- img_as_uint
Convert an image to unsigned integer format, with values in [0, 65535].
- img_as_int
Convert an image to signed integer format, with values in [-32768, 32767].
- img_as_ubyte
Convert an image to unsigned byte format, with values in [0, 255].
- img_as_bool
Convert an image to boolean format, with values either True or False.
- dtype_limits
Return intensity limits, i.e. (min, max) tuple, of the image’s dtype.
Test images and datasets. |
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Functionality with an experimental API. |
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Utilities to read and write images in various formats. |
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Image restoration module. |
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This module includes tools to transform images and volumetric data. |
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