Δημοσιεύσεις

Project Acronym: PIBR
Title: Parallel Image Block Representation and Applications
Affiliation: democritus university of thrace
Pi: Iraklis Spiliotis
Research Field: mathematics and computer sciences

Parallel implementation of the Image Block Representation using OpenMP
by Iraklis M. Spiliotis, Michael P. Bekakos and Yiannis S. Boutalis
Abstract:
Herein, a parallel implementation in OpenMP of the Image Block Representation (IBR) for binary imagesis investigated. The IBR is a region-based image representation scheme that represents the binary image as a set of non-overlapping rectangular areas with object level, called blocks. The IBR permits the execution of operations on image areas instead of image points and therefore leads to a substantial reduction of the required computational complexity. The experimental and the analytically derived results from parallel implementation in OpenMP, on a multicore computer, proved that a very good overall performance can be achieved.
Reference:
Parallel implementation of the Image Block Representation using OpenMP (Iraklis M. Spiliotis, Michael P. Bekakos and Yiannis S. Boutalis), In Journal of Parallel and Distributed Computing, volume 137, 2020.
Bibtex Entry:
@article{SPILIOTIS2020134,
 title = {Parallel implementation of the Image Block Representation using OpenMP},
 journal = {Journal of Parallel and Distributed Computing},
 volume = {137},
 pages = {134 - 147},
 year = {2020},
 bibyear = {2020},
 issn = {0743-7315},
 doi = {10.1016/j.jpdc.2019.11.006},
 url = {http://www.sciencedirect.com/science/article/pii/S0743731519307622},
 author = {Iraklis M. Spiliotis and Michael P. Bekakos and Yiannis S. Boutalis},
 abstract = {Herein, a parallel implementation in OpenMP of the Image Block Representation (IBR) for binary imagesis investigated. The IBR is a region-based image representation scheme that represents the binary image as a set of non-overlapping rectangular areas with object level, called blocks. The IBR permits the execution of operations on image areas instead of image points and therefore leads to a substantial reduction of the required computational complexity. The experimental and the analytically derived results from parallel implementation in OpenMP, on a multicore computer, proved that a very good overall performance can be achieved.},
}