Thesis Details

Nelineární filtrace velkých 3D obrazových dat

Bachelor's Thesis Student: Škrášek Michael Academic Year: 2021/2022 Supervisor: Španěl Michal, Ing., Ph.D.
English title
Non-Linear Filtering of Large 3D Images
Language
Czech
Abstract

This bachelor thesis deals with design and effective implementation of nonlinear filters, bilateral filter and non-local means filter, for denoising 3D image data. The implemented filters are optimized by various techniques such as parallel processing, integral image, sampling etc. This thesis project includes cross-platform solution of these filters in C\# language and two demonstration applications -- a GUI application for Windows and a cross-platform console application -- demonstrating the use of the library. The performance and output of implemented filters were tested and compared against open source reference filters (Itk, scikit-image), with the 3D bilateral filter implementation being up to $30×$ faster than the available     implementation of the Itk filter and the implementation of the 3D non-local means filter is approximately $2×$ faster than the scikit-image implementation

Keywords

nonlinear filters, bilateral filter, non-local menas filter, 3D bilateral filter, 3D non-local means filter, non-linear filters for volumetric data, nonlinear filters for 3D image data, fast bilateral filter, fast non-local means filter

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
14 June 2022
Reviewer
Materna Zdeněk, Ing., Ph.D.
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Citation
ŠKRÁŠEK, Michael. Nelineární filtrace velkých 3D obrazových dat. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Španěl Michal. Available from: https://www.fit.vut.cz/study/thesis/23513/
BibTeX 
@bachelorsthesis{FITBT23513,
    author = "Michael \v{S}kr\'{a}\v{s}ek",
    type = "Bachelor's thesis",
    title = "Neline\'{a}rn\'{i} filtrace velk\'{y}ch 3D obrazov\'{y}ch dat",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23513/"
}

Theses

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