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Registration of the autofluorescence images
Říha, František ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
The autofluorescence images of the retina, which are obtained by laser scanning confocal ophthalmoscope Heidelberg Retina Angiograph (HRA), are used for early glaucoma diagnosis. Glaucoma is caused by gradual damage of the optic nerves, which leads to the failing of eyesight and can even cause its complete loss. HRA system is used to obtain a set of retinal images, where every image represents certain segment of retina. This thesis describes image registration methods for retinal image mosaicing. The tested registration methods are based on the global function of similarity or the landmarks detection. As landmarks, the blood vessel bifurcations are considered.
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Optimization techniques in image applications
Ondráček, Pavel ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This thesis deals with methods for optimization in image processing. There is described some of optimization techniques and some applications in image processing. There is also described detailed procedure and realization of bee algorithm, genetic algorithm, PSO algorithm and their realization in image registration, matched filtering, image segmentation and image reconstruction. Algorithms and their efficiencies are compared in the particular application for image processing.
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MediaDiff - Diff for Static Images
Brothánek, Jan ; Mlích, Jozef (referee) ; Chmelař, Petr (advisor)
This bachelor's thesis focuses on comparison of digital documents, especially static images. This paper presents algorithms, which are usable for general data comparison and also specific algorithms major in image data comparison. We introduce possibilities of document comparison which are now available for users. On the basis of this current situation, a prototype of new modular application MediaDiff for various documents comparison is designed and implemented. We describe in detail each stage of the application development, problems which had arisen and their solutions. The possibilities of future development of the application are discussed.
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Head Pose Estimation and Tracking
Pospíšil, Aleš ; Krajsa, Ondřej (referee) ; Přinosil, Jiří (advisor)
Diplomová práce je zaměřena na problematiku detekce a sledování polohy hlavy v obraze jako jednu s možností jak zlepšit možnosti interakce mezi počítačem a člověkem. Hlavním přínosem diplomové práce je využití inovativních hardwarových a softwarových technologií jakými jsou Microsoft Kinect, Point Cloud Library a CImg Library. Na úvod je představeno shrnutí předchozích prací na podobné téma. Následuje charakteristika a popis databáze, která byla vytvořena pro účely diplomové práce. Vyvinutý systém pro detekci a sledování polohy hlavy je založený na akvizici 3D obrazových dat a registračním algoritmu Iterative Closest Point. V závěru diplomové práce je nabídnuto hodnocení vzniklého systému a jsou navrženy možnosti jeho budoucího zlepšení.
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Static model of scene
Sikora, Jan ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This thesis deal with various methods of background detection and with it related motion detection in a scene. It's progressing from simplest methods to more comlex. For every one are reviewed the possibilities of using and her drawbacks. In introduction are described various types of scenes according to background and foreground type e.g . according to movement objects speed or presence of movement in background. Is proposed several common or specific improvements for obtaining better background even by using simple method. Next part of work solve real situation of shaking camera. There are tested two basic methods for optical stabilization. The first is registration of images by template matching. Alternative method used interest points (corners). Both methods are closely examinate and is sought best way to match following pictures. Except shaking of camera this work deal with rotating camera and in theory solve detection background from cameras placed on ridden car. Part of work is creation database of different types scenes
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Multimodal Registration of Fundus Camera and OCT Retinal Images
Běťák, Ondřej ; Čmiel, Vratislav (referee) ; Gazárek, Jiří (advisor)
Tato práce se zabývá multimodální registrací snímků sítnice z různých skenovacích zařízení. Multimodální registrace umožňuje zvýraznit prvky na snímcích sítnice, které jsou důležité pro detekci různých typů onemocnění oka (jako je glaukom, degradace nervových vláken, degradace cév, atd.). Teoretická část tvoří zhruba první půlku práce a je následována praktickou částí, která popisuje postupy při různých typech registrací snímků z fundus kamery, SLO a OCT. Registrace fundus a SLO snímků je provedena pomocí prostorové transformace. Tato práce popisuje tři různé metody registrace SLO snímků se snímky z fundus kamery. První a zároveň nejjednodušší je manuální registrace. Druhou je automatická registrace založená na metodě korelace. Výsledky, včetně porovnání obou metod, jsou uvedeny v závěru. Třetím typem je poloautomatická registrace, která využívá výhod obou předchozích metod a tím pádem je kompromisem mezi rychlostí a přesností registrace. Registrace fundus snímků a B-scanů z OCT je realizována dvěma různými metodami. První je opět založená na korelaci a druhá na prostorové transformaci. Všechny tyto registrační metody jsou realizovány také prakticky v programovém prostředí Matlab.
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Image registration using Optical Flow method
Bistrý, Jan ; Provazník, Ivo (referee) ; Malínský, Miloš (advisor)
Registration of medical images is technique, which is developing with new hybrid diagnostic imaging systems. Nowadays is a trend in image registration focused on monomodality and multimodality images registration. The first part of this master’s thesis is intent on present basic information about image registration. Concretely is intending on image transformation, interpolation, criteria function and at optimalization. Further part present realized Optical Flow technique and used “Demon” algorithm for image registration. The next part is focused on presentation of program solution and GUI. In the last section of this master’s thesis is verifying of created program on usual images and real CT images.
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Retinal image registration based on binary vessel tree
Klímová, Jana ; Kolář, Radim (referee) ; Harabiš, Vratislav (advisor)
This bachelor’s thesis treats of binary retinal image registration. The images were photographed with a fundus camera and consequently a vessel tree has been segmented. Two binary images of the same retina have been acquired. The aim of this thesis is to acquaint with and describe methods of retinal image segmentation and registration and to suggest a process of binary image registration. The image registration is based on binary vessel tree, which is segmented with an already existing computer programme. One of the images is referred to as the reference or source and the second image is referred to as the transformed or sensed. Two image registration methods have been proposed. The first one is based on 2D transformation and image subtraction. The sensed image is rotated and translated to the position where the vessel tree is overlaid and the images are geometrically aligned. The second method uses detection of blood vessel bifurcation in the binary retinal images.
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Image registration using optimization with automatic differentiation
Slavíček, David ; Kolář, Radim (referee) ; Vičar, Tomáš (advisor)
This thesis deals with image registration using optimization with automatic differentiation. In the teoretical part were decribed steps of image registration and possibilities of their realization. The practical part consists of design of algorithm for registration of afinely transformed images and implementation of it. Two modifications of the algorith were proposed. Database of xray images was designed. The algorithm was tested on this database.
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