{"version":1,"kind":"Article","sha256":"","slug":"774","location":"","dependencies":[],"doi":"10.54294/4c92vb","frontmatter":{"title":"An ITK Class that Splits Multi-Component Images","abstract":"This document describes the implementation of a class for the Insight Toolkit (ITK) that takes an image\nwith multi-component pixels and outputs a scalar image for each component. This can be useful when\nexamining images of vectors, tensors, etc. This filter may be easier to use and require fewer pixel visitations than an itk::ImageAdaptor with a similar purpose, but it requires additional memory allocation.\n","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["multi-component","vector","tensor","covariant vector"],"authors":[{"name":"McCormick, Matthew","email":"matthew.m.mccormick@gmail.com","affiliations":["University of Wisconsin-Madison"],"corresponding":true}],"date_submitted":"2012-07-15 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