Efficient Computation of Morphological Greyscale Reconstruction

Author Pavel Karas

Thumbnail PDF


  • Filesize: 1.4 MB
  • 8 pages

Document Identifiers

Author Details

Pavel Karas

Cite AsGet BibTex

Pavel Karas. Efficient Computation of Morphological Greyscale Reconstruction. In Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers. Open Access Series in Informatics (OASIcs), Volume 16, pp. 54-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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 15x faster than the CPU methods. To our best knowledge, this is the first GPU implementation of the morphological reconstruction, described in literature.
  • GPU
  • morphological reconstruction


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads