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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/102354
Title: Skeletonization algorithm of high resolution vascular data
Authors: Hancharou, D.
Nedzved, A.
Ablameyko, Sergey V.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2014
Publisher: Minsk : UIIP NASB
Citation: Pattern Recognition and Information Processing (PRIP'2014): Proceedings of the 12th International Conference (28–30 May 2014, Minsk, Belarus). – Minsk, 2014. – P. 76-80.
Abstract: Analysis of vascular structures can greatly improve accuracy of morphometric studies that may be used for early medical diagnosis. Laws and processes in vascular tree can be described by skeletal structure. Currently, there are numerous skeletonization methods that focus on computational efficiency. However, when data are too large to be loaded into the memory of a personal computer, such approaches are difficult to use. This paper presents an algorithm for constructing of skeleton, topologically equivalent to the original object, which processes data locally and at the same time preserves global attribute of the object - the centeredness. Built skeleton is based on distance maps and then can be used to calculate the morphological and topological characteristics.
URI: http://elib.bsu.by/handle/123456789/102354
ISBN: 978-985-6744-81-8
Appears in Collections:2014

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