Gegenstand dieser Arbeit ist die Betrachtung verschiedener Likelihoodquotiententest für weibullverteilte Grundgesamtheiten. Zunächst wird der Likelihoodquotiententest mit festem Stichprobenumfang zum Prüfen des Formparameters der Weibullverteilung betrachtet, der zwischen zwei Hypothesen entscheidet. Da eine Beobachtung stetiger Zufallsgrößen in der Praxis nur in eingeschränktem Maße möglich ist, wird nach einer allgemeinen Beschreibung des Tests zu einem Likelihoodquotiententest mit gruppierten Beobachtungen übergegangen. Durch eine Verallgemeinerung des Likelihoodquotiententests mit festem Stichprobenumfang wird der sequentielle Quotiententest eingeführt, wobei nun der Stichprobenumfang eine Zufallsgröße ist. Häufig ist es erwünscht, dass ein Test nicht nur zwischen zwei Hypothesen entscheidet, sondern zwischen mehreren Hypothesen. Dieses Mehrentscheidungsproblem wird anhand des Sobel-Wald-Tests in der vorliegenden Arbeit betrachtet, dabei wird sich auf die Betrachtung von drei Hypothesen zurückgezogen. Neben der Betrachtung der Operationscharakteristiken und des mittleren Stichprobenumfangs für diese Tests, wird zudem untersucht, wie sich diese Charakteristiken bei verschiedenen Parameterkonstellationen ändern.

This work deals with the design and implementation of high-speed communication interfaces into FPGA chip and their utilizing for image transmission and processing. In the implementation part has been created PCI Express endpoint device, which provides data transfers between the FPGA chip and computer RAM memory. As a source of image data for further processing was connected the Unicam M621 camera throught the Ethernet interface to FPGA chip. The project was implemented on the Xilinx SP605 development board. Using both of the the interfaces were demonstrated on the application of edge detection using Sobel operator. The PCI Express endpoint device driver for the Linux operating system and a simple application interface in C language was also created within this project.

This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.

This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.

This master's thesis contains introduction to image filtration problems, especially to theoretical outlets, whose origin lies in linear systems theory and mathematical function analysis. There are described some approaches and methods which are used to image smoothing and for edge detection in an image. Mainly Sobel operator, Laplace operator and median filter are covered. The main contents of this project is discussion of some approaches of hardware acceleration of image filtering and design of time effective software and hardware implementations of filters in a form of program functions and combinational circuits using theoretical knowledges about time complexity of algorithms. Hardware and software implementation of named filters was done too. For every filter, time of filtration was measured and results were compared and analyzed.

Aim of this thesis is description of neural network based edge detection methods that are substitute for classic methods of detection using edge operators. First chapters generally discussed the issues of image processing, edge detection and neural networks. The objective of the main part is to show process of generating synthetic images, extracting training datasets and discussing variants of suitable topologies of neural networks for purpose of edge detection. The last part of the thesis is dedicated to evaluating and measuring accuracy values of neural network.

This thesis covers with the problems of photogrammetry. It describes the instruments, theoretical background and procedures of acquiring, preprocessing, segmentation of input images and of the depth map calculating. The main content of this thesis is the description of the new method of stereovision. Its algorithm, implementation and evaluation of experiments. The covered method belongs to correlation based methods. The main emphasis lies in the segmentation, which supports the depth map calculation.