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New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering pp 361–364Cite as

The Efficiency of the Code Parallelization in Multi Core Environment on the Basis of Image Processing in 3D Space

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 312))

Abstract

Grains parameters like volume, surface area or shape factor are important in geological issues connected with rocks and coal mining. For quick and efficient way to calculate that parameters are use some complicated algorithms which are based on source data written in flat 2D images. Almost always raw images need to be filtered and always need to be transformed into 3D images and process in 3D space to obtain reliable results. Even if algorithms which can do that operations are run on efficient computers, operations performed in 3D space consumes a lot of processing time. Authors made attempt of parallelization procedures performed in 3D space to improve efficiency on computers equipped in widely used, multi core processors and presents results.

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Acknowledgment

This work was financed by the AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection as a part of Dean’s grant number 15.11.140.213

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Authors and Affiliations

  1. Faculty of Geology, Geophysics and Environmental Protection, Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Krzysztof Oleszko

Authors
  1. Krzysztof Oleszko
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Correspondence to Krzysztof Oleszko .

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Editors and Affiliations

  1. Computer Science and Engineering, University of Bridgeport Associate Dean for Graduate Programs, Bridgeport, Connecticut, USA

    Khaled Elleithy

  2. Engineering and Computer Science, University of Bridgeport Dean of the School of Engineering, Bridgeport, Connecticut, USA

    Tarek Sobh

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Oleszko, K. (2015). The Efficiency of the Code Parallelization in Multi Core Environment on the Basis of Image Processing in 3D Space. In: Elleithy, K., Sobh, T. (eds) New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-06764-3_44

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  • DOI: https://doi.org/10.1007/978-3-319-06764-3_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06763-6

  • Online ISBN: 978-3-319-06764-3

  • eBook Packages: EngineeringEngineering (R0)

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