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Fluorescence imaging techniques in multimodal holographic microscope
Vašíček, David ; Procházková, Jana (referee) ; Čolláková, Jana (advisor)
The diploma thesis deals with the registration of images taken with the multimodal holographic microscope (MHM). The summary covers the fluorescent and holographic microscopy, and the multimodal holographic microscope combining both these microscopy types. Every pair of the images needs to be aligned in order to gain new information by combining both image types. The thesis contains an algorithm that registers images by phase correlation as well as a process created in MATLAB in accordance with the algorithm. The most important procedure parameters’ influence on the registration success is described and the results are annotated.
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Image analysis for correction of electron microscopes
Smital, Petr ; Schwarz, Daniel (referee) ; Kolář, Radim (advisor)
This thesis describes the physical nature of corrections of an electron microscope and mathematical methods of image processing required for their complete automation. The corrections include different types of focusing, astigmatism correction, electron beam centring, and image stabilisation. The mathematical methods described in this thesis include various methods of measuring focus and astigmatism, with and without using the Fourier transform, edge detection, histogram operations, and image registration, i.e. detection of spatial transformations in images. This thesis includes detailed descriptions of the mathematical methods, their evaluation using an “offline” application, descriptions of the algorithms of their implementation into an actual electron microscope and results of their testing on the actual electron microscope, in the form of a video footage grabbed from its control computer’s screen.
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Correction of image distortion of microscopic scene
Temelová, Kristýna ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
Tato diplomová práce popisuje metodu využití lícování obrazů pro korekci geometrické distorze obrazů pravidelných krystalických struktur získaných z transmisního elektronového mikroskopu (TEM). Cílem této práce je vytvořit algoritmus v Matlabu, který dokáže tyto vady eliminovat nalezením prostorové transformace, která nalícuje zkreslený obraz na jeho modelovou mřížku. Transformace je hledána s využitím optimalizačních metod, které optimalizují zvolenou kriteriální funkci.
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Registration of volume CT brain images by means of global affine 3D transform
Mikuláš, Karol ; Schwarz, Daniel (referee) ; Walek, Petr (advisor)
At present, the medical industry rapidly develops new imaging techniques and improves the imaging methods. Simultaneously also are developed new methods for processing data acquired by these methods. Especially in the past few years has become very used method of registration data, which leads to image transformations of the same scene so that the condition as possible. The work deals with the method of processing data that provides detailed information to individual structures, developments of individual structures over time, allows to simultaneously displayanatomical and physiological information or preprocessing data for further processing.
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Pre-registration of CT pulmonary volumetric image data
Šiška, Branislav ; Walek, Petr (referee) ; Chmelík, Jiří (advisor)
This bachelor thesis is dealing with pre-registration of CT pulmonary volumetric image data. Pre-registration is solved by phase correlation method, which decomposes 3D images into 2D slices arranged in a row. It further describes the geometric transformations, interpolation, calculations of similarity criteria, optimization of registration of images and the image registration process itself. The pre-registration software runs in MATLAB^®, which works with 3D images of real CT image data with an emphasis on process speed.
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Phase-correlation based image registration
Druckmüllerová, Hana ; Martišek, Dalibor (referee) ; Procházková, Jana (advisor)
Tato práce se zabývá použitím fázové korelace k určení vzájemné rotace, změny měřítka a posunu mezi digitálními obrazy. Fázová korelace je založena na Fourierově transformaci, proto je popsána Fourierova transformace funkcí definovaných na R^2 i diskrétní Fourierova transformace funkcí definovaných na konečném počtu bodů {0, 1, ... , N-1}^2, kde N je přirozené číslo. Dále je pozornost věnována modifikacím fázové korelace, díky nimž metoda umožňuje nalezení parametrů podobnostní transformace i mezi obrazy, které mají vysoký dynamický rozsah a slabě patrné struktury, obsahují aditivní nebo impulzní šum a jsou pořízeny pomocí různých snímačů a optických soustav. Obsahem práce jsou i modifikace metody pro snímky sluneční koróny pořízené během úplných zatmění Slunce, což patří mezi nejobtížnější úlohy registrace obrazů.
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Registration of Ultrasound Image sequences
Kubica, Roman ; Mézl, Martin (referee) ; Jiřík, Radovan (advisor)
The result of this thesis, focused on medical image registration, is an automatic image registration algorithm. It is constructed to be used on real ultrasonography images, created by perfusion imaging. In its introductory part, the thesis deals with registrations methods, next it describes types of optimization principles and single criteria functions served to determine correct image transformation. Based on the theoretical part, there are realized three optimization algorithms using three criterial functions, which served to registration of provided ultrasonography sequences. These algorithms are tested and results are passed on analysis, on its ground are judged its advantages and disadvantages.
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Image Registration from Static UAV Platform for Ground Objects Localization
Kučera, Adam ; Luža, Radim (referee) ; Rozman, Jaroslav (advisor)
This paper describes development of new robust method for video registration into shared space. Then it is possible to georegister this video to satellite image using single arbitrary frame. Developed high-level method is based on state-of-the-art low-level image processing algorithms. It is robust to huge and/or instant changes in lighting conditions of the scene and changes in geometry of the view. Global error problem is converted to shortest path optimization problem. Local error is minimized via fusion of two approaches to video stabilization.
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Automatic segmentation of regions of interest in a human vertebra
Novosadová, Michaela ; Jan, Jiří (referee) ; Peter, Roman (advisor)
This bachelor´s thesis describes anatomy of the spine and the most frequent pathologies of the spine with focus on those tumour diseases, that affect more and more people today. The other part of the work describes theory of image registration. The aim of this thesis is to create an algorithm able to do automatic segmentation of regions of interest in human vertebra (body and posterior elements). This segmentation can simplify the classification of tumour diseases of the spine in the future. A solution was designed on the base of theoretical knowledge. This solution is based on registration of segmented models on original vertebrae. The thesis also describes the process of the solution. For easier understanding, the process of solution and the evaluation of results are added with number of graphs, images and tables.
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