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Affine registration of native and contrast-enhanced CT brain images
Chmelík, Jiří ; Mézl, Martin (referee) ; Walek, Petr (advisor)
This thesis is dealing with problem of brain images registration aquired by computed tomography. At the beginning is explanation of image geometrical transformation methods, notably affine transformation. Following part of text the is dealing with interpolation methods issues, calculation of similarity criterion and subsequent optimalization. All issues are handled especially for three-dimensional data. Second part of this work is practical sample of MatLab® program enviroment for registration of acquired frames by affine tranformation. In this program is algorithm for removement of stair-step artefact, under head pillow and patient’s desk, too. As an optimalization algorithm is used control random search (CRS) methode. Due to medical images type, which are distributed in DICOM format, is included process for their load and save at this work.
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Ensuring Precision of Stereo Image Processing
Kuník, Oliver ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis deals with the possibilities of refining the results of stereo image processing and examines the methods of stereo image stabilization. Proposes a method of stabilizing the stereo recording with respect to the designated reference stereo image to keep the images in the calibration position of the camera. An affine transformation is used to eliminate the movement of stereo images. The positions of the corner points found with subpixel precision are used for calculating the transformation. This thesis includes a comparison of the stabilization efficiency of a stereo record intended for vehicle speed measurements.
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Automorphing of the Image Pairs
Čermák, Pavel ; Nečas, Ondřej (referee) ; Beran, Vítězslav (advisor)
This thesis I deal with creating automorphing between source and destination image. The thesis describes existing methods and algorithms for creating morphing. The thesis focuses on the design and implementation methods for creating automorphing. For this purpose it is necessary to detect significant points in the image, find correspondence of to these points and create your own morphing.
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Evaluation of Methods of Stereo Image Processing
Juráček, Ivo ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis addresses the correlation between two pictures and its application to a real example using a camera which is a part of a stereo camera. It suggests how to use correlation to find specific patterns in pictures whereas it is possible to calculate the movement between two scaled pictures which is done by resampling. The accuracy of correlation is then shown when pictures are compensated using affine transformation in order to verify the accuracy of correlation. To further increase the correlation accuracy, it is possible to use a corner detector, it finds main points in a shot and then it searches for a match in another shot using correlation. Final results using this method are also mentioned in this thesis.
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Quantification of multivariate risk
Hilbert, Hynek ; Hlubinka, Daniel (advisor) ; Hudecová, Šárka (referee)
In the present work we study multivariate extreme value theory. Our main focus is on exceedances over linear thresholds. Smaller part is devoted to exce- edances over elliptical thresholds. We consider extreme values as those which belong to remote regions and investigate convergence of their distribution to the limit distribution. The regions are either halfspaces or ellipsoids. Working with halfspaces we distinguish between two setups: we either assume that the distribution of extreme values is directionally homogeneous and we let the halfspaces diverge in any direction, or we assume that there are some irre- gularities in the sample cloud which show us the fixed direction we should let the halfspaces drift out. In the first case there are three limit laws. The domains of attraction contain unimodal and rotund-exponential distributions. In the second case there exist a lot of limit laws without general form. The domains of attraction also fail to have common structure. The similar situation occurs for the exceedances over elliptical thresholds. The task here is to investigate convergence of the random vectors living in the complements of ellipsoids. For all, the limit distributions are determined by affine transformations and distribution of spectral measure. 1
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Ensuring Precision of Stereo Image Processing
Kuník, Oliver ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis deals with the possibilities of refining the results of stereo image processing and examines the methods of stereo image stabilization. Proposes a method of stabilizing the stereo recording with respect to the designated reference stereo image to keep the images in the calibration position of the camera. An affine transformation is used to eliminate the movement of stereo images. The positions of the corner points found with subpixel precision are used for calculating the transformation. This thesis includes a comparison of the stabilization efficiency of a stereo record intended for vehicle speed measurements.
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Evaluation of Methods of Stereo Image Processing
Juráček, Ivo ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis addresses the correlation between two pictures and its application to a real example using a camera which is a part of a stereo camera. It suggests how to use correlation to find specific patterns in pictures whereas it is possible to calculate the movement between two scaled pictures which is done by resampling. The accuracy of correlation is then shown when pictures are compensated using affine transformation in order to verify the accuracy of correlation. To further increase the correlation accuracy, it is possible to use a corner detector, it finds main points in a shot and then it searches for a match in another shot using correlation. Final results using this method are also mentioned in this thesis.
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Quantification of multivariate risk
Hilbert, Hynek ; Hlubinka, Daniel (advisor) ; Hudecová, Šárka (referee)
In the present work we study multivariate extreme value theory. Our main focus is on exceedances over linear thresholds. Smaller part is devoted to exce- edances over elliptical thresholds. We consider extreme values as those which belong to remote regions and investigate convergence of their distribution to the limit distribution. The regions are either halfspaces or ellipsoids. Working with halfspaces we distinguish between two setups: we either assume that the distribution of extreme values is directionally homogeneous and we let the halfspaces diverge in any direction, or we assume that there are some irre- gularities in the sample cloud which show us the fixed direction we should let the halfspaces drift out. In the first case there are three limit laws. The domains of attraction contain unimodal and rotund-exponential distributions. In the second case there exist a lot of limit laws without general form. The domains of attraction also fail to have common structure. The similar situation occurs for the exceedances over elliptical thresholds. The task here is to investigate convergence of the random vectors living in the complements of ellipsoids. For all, the limit distributions are determined by affine transformations and distribution of spectral measure. 1
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