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Preprints 1996

Volume Segmentation of $3$-dimensional Images
Citation key Report-515-1996
Author Christophe Fiorio and Jens Gustedt
Year 1996
Number 515
Institution Technische Universität Berlin, Institut für Mathematik
Abstract We present a practical method to segment large medical images that takes the whole $3$-dimensional structure into account. We use a Union-Find data structure to record and maintain the necessary information during the segmentation process. Due to the large data size, we are forced to divide our process in two parts: a ``\emphweak segmentation'' of the individual sections and a global integration of all the data. This method shows good results on computer tomographies.
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