{"version":1,"kind":"Article","sha256":"","slug":"208","location":"","dependencies":[],"doi":"10.54294/e292kx","thumbnail":"https://pub.desci.com/ipfs/bafkreidjkoxymi3c7rq6dhqeeop3pprpd7psirt3imc5u3txs5lucguh2y","frontmatter":{"title":"Image Kernel Convolution","abstract":"Convolution is a basic operation in image analysis and the Insight Toolkit provides a well-framed mechanism for such operations (see Chapter 11 of the ITK Software Guide. The classes associated with this contribution are meant to simplify convolution operations for the user who wishes to convolve a given image with an arbitrary image kernel. This entails the use of the neighborhood iterator coupled with a image kernel neighborhood operator which we provide. A couple of examples are provided to illustrate its use.","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":["convolution","image kernel"],"authors":[{"name":"Tustison, Nicholas","email":"ntustison@gmail.com","affiliations":[],"corresponding":true},{"name":"Gee, James","email":"gee@mail.med.upenn.edu","affiliations":[]}],"date_submitted":"2009-01-20 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