{"version":1,"kind":"Article","sha256":"","slug":"318","location":"","dependencies":[],"doi":"10.54294/ne109t","thumbnail":"https://pub.desci.com/ipfs/bafkreiannbuv3r4su6gszofjmfvcuzqzdk4r2pum53oz6yq73jlo6cj64a","frontmatter":{"title":"Stochastic Fractal Dimension Image","abstract":"Fractal analysis for medical image classification and analysis was introduced in cite{Chen1989}. According to the authors, when viewed as an intensity surface, Mandelbrot\\'s fractal theory provides an informative framework for characterizing such a surface. Using the fractional Brownian motion model, the authors provide an algorithm for converting a scalar image to a fractal dimension image for classification purposes or edge enhancement. This submission constitutes a report on the ITK implementation of this algorithm. ","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":["texture","edge enhancement","fractal"],"authors":[{"name":"Tustison, Nicholas","email":"ntustison@gmail.com","affiliations":[],"corresponding":true},{"name":"Gee, James","email":"gee@mail.med.upenn.edu","affiliations":[]}],"date_submitted":"2009-04-28 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