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Efficient Computation of Morphological Greyscale Reconstruction

Basic information
Original title:Efficient Computation of Morphological Greyscale Reconstruction
Author:Pavel Karas
Further information
Citation:KARAS, Pavel. Efficient Computation of Morphological Greyscale Reconstruction. In 6th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science. Brno : NOVPRESS, 2010. ISBN 978-80-87342-10-7, pp. 92-100. 22.10.2010, Mikulov.
Original language:English
Field:Informatika
Type:Article in Proceedings
Keywords:morphological reconstruction; morphological greyscale reconstruction; algorithms; gpu; cuda

Morphological reconstruction is an important image operator from mathematical morphology. It is very often used for filtering, segmentation, and feature extraction. However, its computation can be very time-consuming for some input data. In this paper we review several efficient algorithms to compute the reconstruction, and compare their performance on real 3D images of large sizes. Furthermore, we propose a GPU implementation which performs up to 15 times faster than the CPU methods. To our best knowledge, this is the first GPU implementation of the morphological reconstruction, described in literature.

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