The work discusses about the PBX Yate, describes its configuration from the initial installation, through the basic setup and description of the way through the logs of user registration, the syntax for defining the calling plan, including examples, and additional services, including demonstration of practical verification of the functionality in the computer lab. Are also created two samples job for more familiar with the principles of operation and the Yate PBX settings.

The aim of the thesis is optimization for a medical images registration. The basis is to acquaint with the images registration and to peruse component global optimization methods, especially an optimization method TRUST. After theoretic knowledge it is possible to proceed to a suggestion of an optimization method based on the TRUST method and to realize in the program setting MATLAB. Created algorithms has been tested on test data and compared with other optimization methods as Simulated annealing.

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.

This thesis deals with a nonrigid image registration for movement correction in thoracic dynamic contrast CT data. The deformation field is initialized by the analysis of disparities based on nonlinear matched filter, which defines local movement deformation. The values of control points are optimized by the Nelder-Mead method. The transformation model is based on a 4D (3D + time) free-form B-spline deformation for feature of movement distortion. The first part of the thesis briefly discusses the theory of image registration. Knowledge of this theory is necessary for understanding the remaining chapters, which describe the proposed method and its realization. The large part of this thesis is devoted to the geometrical image transformations, that is very important for the image registration. The thesis also describes a simplex method for function minimization. Three publicated methods of registration of medical 4D CT data are given. In the following chapter are individual parts of the purposed nonrigid registration including possible problems and their solution described.

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

This semestral thesis deals with visualization of intracranial EEG. In the first part, theoretical basics of EEG is mentioned. After that, image registration, as a needed tool for visualization is described followed by research of methods of visualization of high frequency oscilations from intracranial EEG. Finally, method for visualization of high frequency oscilations from EEG in real MRI patient scans is designed and implemented.

In order to meet the needs of people with hearing loss today hearing aids are custom designed. Increasingly accurate 3-D scanning technology has contributed to the transition from conventional production scenarios to software based processes. Nonetheless, there is a tremendous amount of manual work involved to transform an input 3-D surface mesh of the outer ear into a final hearing aid shape. This manual work is often cumbersome and requires lots of experience which is why automatic solutions are of high practical relevance. This work is concerned with the recognition of 3-D surface meshes of ear implants. In particular we present a semantic part-labeling framework which significantly outperforms existing approaches for this task. We make at least three contributions which may also be found useful for other classes of 3-D meshes. Firstly, we validate the discriminative performance of several local descriptors and show that the majority of them performs poorly on our data except for 3-D shape contexts. The reason for this is that many local descriptor schemas are not rich enough to capture subtle variations in form of bends which is typical for organic shapes. Secondly, based on the observation that the left and the right outer ear of an individual look very similar we raised the question how similar the ear shapes among arbitrary individuals are? In this work, we define a notion of distance between ear shapes as building block of a non-parametric shape model of the ear to better handle the anatomical variability in ear implant labeling. Thirdly, we introduce a conditional random field model with a variety of label priors to facilitate the semantic part-labeling of 3-D meshes of ear implants. In particular we introduce the concept of a global parametric transition prior to enforce transition boundaries between adjacent object parts with an a priori known parametric form. In this way we were able to overcome the issue of inadequate geometric cues (e.g., ridges, bumps, concavities) as natural indicators for the presence of part boundaries. The last part of this work offers an outlook to possible extensions of our methods, in particular the development of 3-D descriptors that are fast to compute whilst at the same time rich enough to capture the characteristic differences between objects residing in the same class.

In August, 2014 three experiments were conducted using infrared systems deployed at White Mountain Research center, CA. The data was acquired for the whole month of August. Teams of 3-4 students from Cal Poly San Luis Obispo and UC Santa Barbara were stationed at the research center for 2-3 days to operate the equipment. The three experiments were:(1) creating spatial-temporal time series of lunar surface temperatures;(2) identifying atmospheric meteor trails;(3) search for meteor impacts on the Moon surface. Out of the three this thesis focusses on experiment 1 and the results from this experiment could also help with the other experiments. We propose to use a thermal infrared camera mounted on a telescope to acquire time-series observations of lunar surface temperatures to get a novel insight into the thermal evolution of the Moon over a complete lunar cycle. Half a lunar cycle would account from morning to night and lasts for approximately 14.75 days. Seeing how the pixel value changes from morning to night the pixel and temperature trends can be observed throughout the day. Apart from that one can get the two temperature peaks that could maybe help to get an estimate for the Thermal inertia of the surface in the presence of Moon regolith. The temperature trends and the thermal inertia could potentially provide some insight for methods that seek to determine the properties of asteroids from ground based observations.

Mastitis is a common disease among cows in dairy farms. Diagnosis of the infection is today done manually, by analyzing bacteria growth on agar plates. However, classifiers are being developed for automated diagnostics using images of agar plates. Input images need to be of reasonable quality and consistent in terms of scale, positioning, perspective, and rotation for accurate classification. Therefore, this thesis investigates if a combination of image processing techniques can be used to match each input image to a pre-defined reference model. A method was proposed to identify important key points needed to register the input image to the reference model. The key points were defined by identifying the agar plate, its compartments, and its rotation within the image. The results showed that image registration with the correct key points was sufficient enough to match images of agar plates to a reference model despite any varieties in scale, position, perspective, or rotation. However, the accuracy depended on the identification of the salient features of the agar plate. Ultimately, the work proposes an approach using image registration to transform images of agar plates based on a pre-defined reference model, rather than a reference image.

In the beginning of the 20th century, villa easements were formed to regulate land use in residential areas. Villa easements were created as a prohibition for the property owners to use their own property in a certain way. Because of the societal develop- ment, villa easements no longer have the same function as they used to. Villa easements cause problems for surveyors regarding increased investigative work, decreased reliability of the land register and a lot of questions from the property owners. All these factors result in increased costs for interested parties. To solve the problems with villa easements they should be eliminated. This report presents vari- ous approaches to get rid of villa easements. To collect information to the report, a questionnaire was sent to experienced survey- ors.  Furthermore, interviews were conducted to find out how villa easements are managed today by surveyors. The outcome of the investigation indicates that the best approach for managing the problem is property regulation. By using property regulation both rights and registra- tions are removed. The analysis contains a general discussion on the information obtained during the investigation. Pros and cons of options for repeal of villa easements and how to clean the Land Registry are discussed. The options are compared and our recom- mendation is that the most effective course of action for repeal of villa easements is property regulation. / I början av 1900-talet bildades villaservitut för att reglera markanvändningen i bo- stadsområden. De upprättades som ett förbud för fastighetsägare att använda sin egen fastighet på ett visst sätt. På grund av samhällsutvecklingen fyller villaservituten inte längre samma funktion som då de bildades. Villaservitut orsakar problem för lantmätare genom ökat utredningsarbete, brist på tillförlitlighet till fastighetsregistret samt många frågor från fastighetsägare. Alla dessa faktorer leder till ökade kostnader för sakägare. För att lösa problemen med villa- servitut krävs att de rensas bort. I denna rapport presenteras olika metoder för rens- ning av villaservitut. För att samla in information skickades en enkät ut till erfarna lantmätare. Dessutom genomfördes intervjuer för att ta reda på hur villaservitut hanteras av lantmätare idag. Resultatet av undersökningen visar att den bästa metoden för att hantera problemen med villaservitut är att upphäva dem genom fastighetsreglering. Genom att tillämpa fastighetsreglering försvinner såväl rättigheter som inskrivningar. I analysen förs ett generellt resonemang kring information som framkommit under undersökningen. Därefter diskuteras för- och nackdelar med alternativen för upphä- vande av villaservitut och rensning av fastighetsregistret. Alternativen jämförs med varandra och fastighetsreglering presenteras som vår rekommendation av det mest effektiva tillvägagångssättet för upphävande av villaservitut.