Metadata-Version: 2.1
Name: itk-io
Version: 5.1.1
Summary: ITK is an open-source toolkit for multidimensional image analysis
Home-page: https://itk.org/
Author: Insight Software Consortium
Author-email: community@itk.org
License: Apache
Download-URL: https://itk.org/ITK/resources/software.html
Keywords: ITK InsightToolkit segmentation registration image imaging
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: C++
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
Classifier: Operating System :: Android
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Description-Content-Type: text/markdown
Requires-Dist: itk-core (==5.1.1)

itk-io
====================================

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional scientific images.

This package contains classes for reading and writing images and other data objects.

![ITK - The Insight Toolkit](Documentation/Art/itkBannerSmall.png)

ITK: The Insight Toolkit
========================

[![GitHub release](https://img.shields.io/github/release/InsightSoftwareConsortium/ITK.svg)](https://github.com/InsightSoftwareConsortium/ITK/releases/latest)
[![PyPI](https://img.shields.io/pypi/v/itk.svg)](https://pypi.python.org/pypi/itk)
[![Wheels](https://img.shields.io/pypi/wheel/itk.svg)](https://pypi.org/project/itk)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/InsightSoftwareConsortium/ITK/blob/master/LICENSE)
[![DOI](https://zenodo.org/badge/800928.svg)](https://zenodo.org/badge/latestdoi/800928)

| | C++ | Python |
|:------:|:--------:|:--------:|
| Linux | [![Build Status](https://dev.azure.com/itkrobotlinux/ITK.Linux/_apis/build/status/ITK.Linux?branchName=master)](https://dev.azure.com/itkrobotlinux/ITK.Linux/_build/latest?definitionId=2&branchName=master) | [![Build Status](https://dev.azure.com/itkrobotlinuxpython/ITK.Linux.Python/_apis/build/status/ITK.Linux.Python?branchName=master)](https://dev.azure.com/itkrobotlinuxpython/ITK.Linux.Python/_build/latest?definitionId=3&branchName=master) |
| macOS | [![Build Status](https://dev.azure.com/itkrobotmacos/ITK.macOS/_apis/build/status/ITK.macOS?branchName=master)](https://dev.azure.com/itkrobotmacos/ITK.macOS/_build/latest?definitionId=2&branchName=master) | [![Build Status](https://dev.azure.com/itkrobotmacospython/ITK.macOS.Python/_apis/build/status/ITK.macOS.Python?branchName=master)](https://dev.azure.com/itkrobotmacospython/ITK.macOS.Python/_build/latest?definitionId=2&branchName=master) |
| Windows | [![Build Status](https://dev.azure.com/itkrobotwindow/ITK.Windows/_apis/build/status/ITK.Windows?branchName=master)](https://dev.azure.com/itkrobotwindow/ITK.Windows/_build/latest?definitionId=2&branchName=master) | [![Build Status](https://dev.azure.com/itkrobotwindowpython/ITK.Windows.Python/_apis/build/status/ITK.Windows.Python?branchName=master)](https://dev.azure.com/itkrobotwindowpython/ITK.Windows.Python/_build/latest?definitionId=1) |
| Linux (Code coverage)| [![Build Status](https://dev.azure.com/itkrobotbatch/ITK.Coverage/_apis/build/status/ITK.Coverage?branchName=master)](https://dev.azure.com/itkrobotbatch/ITK.Coverage/_build/latest?definitionId=3&branchName=master) | |

Links
-----

* [Homepage](https://itk.org)
* [Download](https://itk.org/download/)
* [Discussion](https://discourse.itk.org/)
* [Software Guide](https://itk.org/ItkSoftwareGuide.pdf)
* [Help](https://itk.org/resources/)
* [Examples](https://itk.org/ITKExamples/)
* [Issue tracking](https://github.com/InsightSoftwareConsortium/ITK/issues)
* [Submit a patch](CONTRIBUTING.md)


About
-----

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for
N-dimensional scientific image processing, segmentation, and registration.
Segmentation is the process of identifying and classifying data found in a
digitally sampled representation. Typically the sampled representation is an
image acquired from such medical instrumentation as CT or MRI scanners.
Registration is the task of aligning or developing correspondences between
data. For example, in the medical environment, a CT scan may be aligned with a
MRI scan in order to combine the information contained in both.

ITK is distributed in binary Python packages. To install:

```
pip install itk
```

or

```
conda install -c conda-forge itk
```

The cross-platform, C++ core of the toolkit may be built from source using
[CMake](https://cmake.org).


Copyright
---------

[NumFOCUS](https://numfocus.org/) holds the copyright of this software.
NumFOCUS is a non-profit entity that promotes the use of open source
scientific software for educational and research purposes.  NumFOCUS delegates
project governance to the [Insight Software
Consortium](http://www.insightsoftwareconsortium.org) Council, an educational
consortium dedicated to promoting and maintaining open-source, freely
available software for medical image analysis. This includes promoting such
software in teaching, research, and commercial applications, and maintaining
webpages and user and developer communities.  ITK is distributed under a
license that enables use for both non-commercial and commercial applications.
See
[LICENSE](https://github.com/InsightSoftwareConsortium/ITK/blob/master/LICENSE)
and
[NOTICE](https://github.com/InsightSoftwareConsortium/ITK/blob/master/NOTICE)
files for details.

Citation
--------

To cite ITK, please reference, as appropriate:

### The papers

> McCormick M, Liu X, Jomier J, Marion C, Ibanez L. ITK: enabling reproducible research and open science. Front Neuroinform. 2014;8:13. Published 2014 Feb 20. doi:10.3389/fninf.2014.00013

> Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK – The Insight Toolkit. In Proc. of Medicine Meets Virtual Reality, J. Westwood, ed., IOS Press Amsterdam pp 586-592 (2002).

### The books

> Johnson, McCormick, Ibanez. "The ITK Software Guide: Design and Functionality." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-28-3.

> Johnson, McCormick, Ibanez. "The ITK Software Guide: Introduction and Development Guidelines." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-27-6.

### Specific software version

[![DOI](https://zenodo.org/badge/800928.svg)](https://zenodo.org/badge/latestdoi/800928)

Once your work has been published, please create a pull request to add
the publication to the
[ITKBibliography.bib](https://github.com/InsightSoftwareConsortium/insightsoftwareconsortium.org/blob/master/static/citations-visualization/ITKBibliography.bib)
file.


