skimage

Image Processing for Python

scikit-image (a.k.a. skimage) is a collection of algorithms for image processing and computer vision.

Attributes

__version__

__version__

Subpackages

color

Color space conversion.

data

Example images and datasets.

draw

Drawing primitives, such as lines, circles, text, etc.

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.

future

Functionality with an experimental API.

graph

Graph-based operations, e.g., shortest paths.

io

Reading and saving of images and videos.

measure

Measurement of image properties, e.g., region properties, contours.

metrics

Metrics corresponding to images, e.g., distance metrics, similarity, etc.

morphology

Morphological algorithms, e.g., closing, opening, skeletonization.

registration

Image registration algorithms, e.g., optical flow or phase cross correlation.

restoration

Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.

segmentation

Algorithms to partition images into meaningful regions or boundaries.

transform

Geometric and other transformations, e.g., rotations, Radon transform.

util

Generic utilities.