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The space data analysis
Burešová, Klára ; Štarha, Pavel (referee) ; Procházková, Jana (advisor)
This thesis deals with the analysis of spatial data and 3D descriptors for object recognition in scenes. The aim of the thesis was to study the issues of working with 3D data and to make a study of different types of 3D descriptors. In this work, we analyzed some descriptors in terms of their ability to describe and quantify the properties of objects in three-dimensional space. Based on this analysis, we selected a suitable descriptor for object recognition in scenes and implemented it. The result of this work is a deeper understanding of 3D descriptors and their applications in spatial data analysis. Our implementation of the selected descriptor provides a basis for further research and development in object recognition in 3D scenes.
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Geometric algebras and neural networks
Zapletal, Jakub ; Procházková, Jana (referee) ; Vašík, Petr (advisor)
This thesis deals with the use of geometric algebras in the field of neural networks. First, Conformal Geometric Algebra (CGA) and Geometric Algebra for Conics (GAC) and their Python implementations are introduced. The functioning of neural networks is then described, including an explanatory example. Finally, both topics are connected by using the appropriate library in the Python language, and the possibilities of geometric algebras for different models of neural networks are demonstrated on several examples.
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Surface approximation using B-spline and T-spline
Pálková, Tereza ; Loučka, Pavel (referee) ; Procházková, Jana (advisor)
The bachelor thesis focuses on B-spline representation of surfaces and its generalization Tspline. The work is divided into three main parts. The introduction lays down the theoretical foundations of both surfaces and presents their mathematical properties. The second part deals with the implementation of algorithms in Matlab software. The final part contains the application of the algorithms on real data obtained by 3D scanning and a comparison of both surfaces in terms of utilization.
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Image descriptors
Dula, Marek ; Druckmüller, Miloslav (referee) ; Procházková, Jana (advisor)
Image processing is a growing industry that makes extensive use of image descriptors to analyze objects in a photo. Nowadays, practically all photos go through Image processing, for example for our convenience when browsing digital photos or for our safety, but also for marketing purposes.
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Image Processing for Optimal Focusing of Light Microscope
Kvašňovská, Petra ; Procházková, Jana (referee) ; Štarha, Pavel (advisor)
The aim of this bachelor thesis is a selection of appropriate parameters to gauge image sharpness. The thesis contains the mathematical theory needed to solve this issue. Picture digitalization necessary for working with an image on a computer is also described. The outcome of the thesis is a method, using which the positions of optimally sharpened test images of objects observed by a light microscope were found.
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Artificial method in medical image processing
Derevianko, Iryna ; Škrabánek, Pavel (referee) ; Procházková, Jana (advisor)
V této práci je implementován systém podpory rozhodování pro diagnostiku abnormalit kolenního kloubu. Navrhujeme diagnostickou metodu založenou na technologii hlubokého učení, jako jsou konvoluční neuronové sítě se specifickým rozložením řezů magnetické rezonance. Bylo implementováno webové rozhraní, které zahrnuje funkce pro stahování souborů magnetické rezonance, možnost prozkoumat libovolný řez dat z libovolného požadovaného pohledu, vytváření animací pro průběžné prohlížení a také diagnostiku procesů pomocí výše uvedených technologií umělé inteligence.
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Effect of pathogens on the vaginal microbiome
Procházková, Jana ; Tachezy, Jan (advisor) ; Smutná, Tamara (referee)
The human body is heavily populated with a wide variety of microorganisms. These microorganisms form coherent communities, which in contact with specific human organs form microbiomes. Each microbiome is unique in its composition. The study of microbiomes enables us to describe their composition and to understand the complex interactions that occur between microorganisms and humans. Methods of microbiome analysis are constantly evolving. For example, next-generation sequencing is currently the most widely used method for the characterization of microbiomes. Bacteria of the genus Lactobacillus are the major component of a healthy vaginal microbiome in most women. A healthy vaginal microbiome is essential for maintaining the natural homeostasis and to assure a proper functioning of the female urogenital tract. Lactobacillus is also important for the protection of the vagina from pathogenic agents such as viruses, bacteria, archaea and eukaryotes. In this bachelor's thesis the major pathogens of the Bacteria and the Eukaryota domain are described. Hereby a particular focus is on Trichomonas vaginalis, which is the most prevalent pathogenic agent of the female urogenital tract worldwide. Studying the immunity of the vaginal microbiome to this parasite is therefore essential. Furthermore, the mechanisms of...
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