Akcelerace zpracování 3D obrazových dat na GPU

English title

Acceleration of 3D Image Processing Using GPU

Language

Czech

Abstract

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The aim of this work is to accelerate the calculation of selected 2D and 3D image filters using GPU using OpenCL. Specifically, it deals with the implementation and comparison of various variants of Sobel's edge detector and Gauss filter using global or local memory.

Acceleration has been achieved on 3D filter variants. On 2D filter variants, the overhead for data transfer to and from the GPU was too high.

Keywords

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NVIDIA CUDA, OpenCL, Sobel edge filter, Gaussian blur filter, convolution, DICOM, volumetric data

Department

Department of Computer Graphics and Multimedia FIT BUT

Degree Programme

Information Technology

Files

Status

defended, grade E

Date

14 June 2017

Reviewer

Klepárník Petr, Ing., Ph.D.

Committee

Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen

Citation

KOZOVSKÝ, Radoslav. Akcelerace zpracování 3D obrazových dat na GPU. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Španěl Michal. Available from: https://www.fit.vut.cz/study/thesis/19473/

BibTeX

@bachelorsthesis{FITBT19473,
    author = "Radoslav Kozovsk\'{y}",
    type = "Bachelor's thesis",
    title = "Akcelerace zpracov\'{a}n\'{i} 3D obrazov\'{y}ch dat na GPU",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19473/"
}