Efficient Computation of Morphological Greyscale Reconstruction


This publication doesn't include Faculty of Medicine. It includes Faculty of Informatics. Official publication website can be found on muni.cz.


Year of publication 2011
Type Article in Proceedings
Conference Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (Selected Papers)
MU Faculty or unit

Faculty of Informatics

Web http://drops.dagstuhl.de/opus/volltexte/2011/3067
Field Informatics
Keywords morphological reconstruction; morphological greyscale reconstruction; algorithms; gpu; cuda
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info