Package: itk-filtering
itk-filteringITK 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.These packages contains filters that modify data in the ITK pipeline framework.  These filters take an input object, such as an Image, and modify it to create an output.  Filters can be chained together to create a processing pipeline.ITK: The Insight ToolkitC++PythonLinuxmacOSWindowsLinux (Code coverage)LinksHomepageDownloadDiscussionSoftware GuideHelpExamplesIssue trackingSubmit a patchAboutThe 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.The ITK project uses anopen governance modeland is fiscally sponsored byNumFOCUS. Consider making
atax-deductible donationto help the project
pay for developer time, professional services, travel, workshops, and a variety of other needs.ITK is distributed in binary Python packages. To install:pipinstallitkorcondainstall-cconda-forgeitkThe cross-platform, C++ core of the toolkit may be built from source usingCMake.CopyrightNumFOCUSholds 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 theInsight Software
ConsortiumCouncil, 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.
SeeLICENSEandNOTICEfiles for details.Supporting ITKITK is a fiscally sponsored project ofNumFOCUS, a non-profit dedicated
to supporting the open source scientific computing community. If you want to
support ITK's mission to develop and maintain open-source, reproducible
scientific image analysis software for education and research, please consider
making adonationto support our efforts.NumFOCUS is 501(c)(3) non-profit charity in the United States; as such,
donations to NumFOCUS are tax-deductible as allowed by law. As with any
donation, you should consult with your personal tax adviser or the IRS about
your particular tax situation.Professional ServicesKitwareprovides professional services for ITK,
including custom solution creation, collaborative research and development,
development support, and training.CitationTo cite ITK, please reference, as appropriate:The papersMcCormick 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.2014.00013Yoo 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 booksJohnson, 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 versionOnce your work has been published, please create a pull request to add
the publication to theITKBibliography.bibfile.