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Developing Modular Information System with Domain-Driven Design
Škrášek, Michael ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
Tato diplomová práce se zabývá monolitickými architekturami a doménově řízeným návrhem (angl. Domain-Driven Design) a jejich kombinací při vývoji modulárních informačních systémů. Poskytuje ucelený přehled principů doménově řízeného návrhu a různých monolitických architektur, včetně čisté architektury a modulární monolitické architektury. Poté demonstruje použití těchto vzorů a architektur na ukázkové aplikaci. Práce nabízí pohled na vývoj informačních systémů s využitím populárních přístupů, jako jsou CQRS, čistá architecktura, doménově řízený přístup, modulární monolit a další.
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Non-Linear Filtering of Large 3D Images
Škrášek, Michael ; Materna, Zdeněk (referee) ; Španěl, Michal (advisor)
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
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Non-Linear Filtering of Large 3D Images
Škrášek, Michael ; Materna, Zdeněk (referee) ; Španěl, Michal (advisor)
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
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