Proceedings of the 2015 International Conference on Recent Advances in Computer Systems

Parallel Implementation of Morphological Image Processing Algorithm for GPGPU

Authors
Kamran Shamim, Muhammad Ismail, Saad Khan
Corresponding Author
Kamran Shamim
Available Online November 2015.
DOI
https://doi.org/10.2991/racs-15.2016.22How to use a DOI?
Keywords
Morphology, Errosion, Dilation, GPGPU, CUDA , Parallel Programming
Abstract
Morphological Image Processing also known as Morphology is used as a tool for extracting image components that are useful in the representation and description of region such as shape, boundaries, skeleton etc. Morphological techniques are also used for pre- and post-processing of given data for morphological filtering, noise removal, thinning, pruning and edge detection. In this paper a parallel implementation of morphological algorithm for GPGPU is presented. The presented implementation identifies the unbroken pills and remove noise from the image in parallel. The result obtained shows the speedup of almost 85 for erosion operation and around 70 for dilation operations on GPGPU.
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Proceedings
International Conference on Recent Advances in Computer Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-146-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/racs-15.2016.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kamran Shamim
AU  - Muhammad Ismail
AU  - Saad Khan
PY  - 2015/11
DA  - 2015/11
TI  - Parallel Implementation of Morphological Image Processing Algorithm for GPGPU
BT  - International Conference on Recent Advances in Computer Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/racs-15.2016.22
DO  - https://doi.org/10.2991/racs-15.2016.22
ID  - Shamim2015/11
ER  -