This thesis deals with image segmentation of volumetric medical data. It describes a well-known watershed technique that has received much attention in the field of medical image processing. An application for a direct segmentation of 3D data is proposed and further implemented by using ITK and VTK toolkits. Several kinds of pre-processing steps used before the watershed method are presented and evaluated. The obtained results are further compared against manually annotated datasets by means of the F-Measure and discussed.

We present solution of steps necessary for binarization and text lines detection contained in printed documents digitized by the camera. We introduce a normalization of non-uniform illumination method for text photographs. We propose input bitmap binarization algorithm based on two-dimensional probability pixel model which also considers its surrounding. We continue with description of robust text lines orientation detector based on optimization of risk function using first order derivatives of image function. In the end we present text lines detection and segmentation algorithm. Final shape of segmented lines is optimized with usage of graph algorithm. Powered by TCPDF (www.tcpdf.org)

Classification of airborne laser scanning data using information about intensity and width of the recorded signal Abstract One of the basic tasks in analysing airborne laser scanning (ALS) data is filtration of mass 3D point cloud with purpose to create digital terrain model and digital surface model. New scanner generation (so called Full-waveform LiDAR) allows analysing the whole recorded signal. The recorded value of amplitude and signal width accordant with reflectance of different objects differs according to geometry of the objects. Objective of this thesis is to create a methodology for classification of ALS data in settled areas. This methodology will be based on number of reflections, amplitude of reflected signal, recorded signal width and on spatial attributes. At the same time it will be analysed how the parameters of amplitude and signal width are affected by characteristics of estate surface. It means which radiometrical characteristics (e.g. different roof materials) and geometrical characteristics (e.g. different roof inclination) belong to which amplitude and signal width. Basic question of this thesis is if amplitude and signal width are good attributes to improve the quality of filtration of mass 3D point cloud in chosen area and if so, how. Key words: classification, segmentation, LiDAR,...

FINANCIAL GEOGRAPHY - AN APPLICATION OF SELECTED CONCEPTS IN TERMS OF THE CZECH REPUBLIC Abstract The aim of the thesis is to analyse the main trends of banking system in Czech Republic after 1989. It is primarily an analysis of centralised banking system, on the basis of which the potential regional impacts according to theory of regional segmentation of fiancial markets are tested. Based on the analysis of changes in the distribution of bank headquarters and the analysis of employment in financial sector it is clear, that in terms of the Czech Republic a highly concentrated banking system occured, which is moreover under the strong inluence of foreign capital. The study focused on testing the regional impacts of a centralized system through interviews with business owners in the peripheral region has not proved allegation of discrimination of entrepreneurs in such manner as we would expect according to the theory of regional segmentation of financial markets. However the study showed some problems with providing guarantees for bank loans in the periphery.

This document deals with the pre-processing and the segmentation of human vertebrae from computed tomography 3D image data. It describes image registration and segmentation methods concretely and commonly used in image data processing during the automated spine canal localization process and the localization of each vertebrae centroid. The 3D deformable model development is described in the work together with the introduction to the previous state of art and the progress of vertebrae segmentation using 3D deformable models registration. This work presents the evaluation of the accuracy and the reliability from the segmentation and localization results.

This master thesis deals with beer market segmentation in the Czech Republic. The main aim of this thesis is to find out whether there is only one big segment or more different segments can be found there. The thesis is divided into two parts, the methodological --theoretical and the practical one. Segmentation, targeting and positioning are described in the first part. The second part is devoted to secondary resources analysis and content analysis focused on beer advertisements. The main part of practical section is to depicts primary quantitative research which is the basis for market segmentation done via SPSS statistic programme. At the end of this master thesis all segments are described in detail and marketing recommendation for each of them are also added there.

Lifestyle market segmentation can be very supportive for a successful marketing strategy of a company. However it is not clear whether lifestyle market segmentation is efficient and ethical or not. Several market segmentation concepts such as Cross-Cultural Consumer Characterization, VALS, PRIZM NE, Mosaic, ConneXions NE and GfK Roper Consumer Styles are analyzed in order to give an extensive overview of the offered concepts. The observation of efficiency issues in regards to market segmentation comes to the result that there is a significant lack of empirical data and a shortage of determined factors which can improve market segmentation efficiency. Moreover, lifestyle market segmentation cannot be exclusively identified as ethically right or wrong, but depends on the individual ethical decision-making of a marketer.

The main goal of the Master's Thesis is to discover significant differences in consumers' behaviour. Based on these differences it determinates and describes the segmenents of consumers. An important goal is to design marketing strategies for these segments as well. The theoretical part of the thesis includes the explanation of the segmentation process. The analytical part covers the characteristics of the Czech facial care market and the analysis of the Market&Media&Lifestyle data. The practical part of the thesis focuses on the process of segmentation using questionares and the IBM SPSS Statistics programme. The output of the thesis reveals three segments of the market and suggests relevant marketing strategies for them.

This thesis deals with analysis of consumer attitudes to various types of stores. Its goal is to determine these attitudes and define the various segments of consumers who go shopping in those stores. Further to recommend an appropriate marketing strategy on the basis of the obtained results. The thesis is dividend into two parts. The first theoretical part prepares a theoretical basis for the second part, which is own research on consumer attitudes in Pilsen and environs. The first part of the theoretical basis defines the different types of stores. They differ in many characteristics and their combinations. The second part deals with the attitudes. It includes definitions of attitudes, defines their components, determines the attributes and functions, their formation and possibilities of change. The third section focuses on the segmentation. What segmentation is, how it is done and what is its aim. The fourth section describes the various ways of marketing communications and defines its goal. It also deals with psychological reasons for buying and own trade mark. In the second practical part I achieve own market research, whose goal is analysis of attitudes of pilsener consumers to the various types of stores.

This paper focuses on the practical application of segmentation. It is based on the theory of marketing segmentation and tries to apply it to the case of a company in building industry in the Slovak market. It analyses secondary data available from the company and primary data obtained from questionnaires. The paper determinates and identifies the existing market segments.