The aim of the thesis is to make segmentation of leisure activities market, to uncover important customer segments and describe the differences in their behavior and feature. Is used the knowledge of social sciences, particularly economics and sociology, with the help of which is described relationship of lifestyle and consumer behavior. The data come from research focused on consumer and media behavior and its relation to population lifestyle. Data were subjected to factor and cluster analysis.

This Master's Thesis is focusing on the typology of consumers in the apparel industry. The thesis is comparing two different typologies. The first one is based on the data of the project Fashion 2012, the second one on the analysis of data MML-TGI. The thesis is also including a detailed description of the segments and evaluation of the positive and negative aspects of these projects, possible recommendations and proposals for new typologies. Next sections are focusing on the theoretical aspects and characteristics of the Czech market. It is fully possible to use the results in practice. Thanks to them, the companies can obtain a comprehensive overview of the current trends and customers of this market.

Recently, brands are getting more and more dominant, not only in the market, but also customers have started to feel different about them. The aim of the thesis is to find out, who is interested in brands and then to learn as much as possible about those. At first, there has been segmenting in software program Data Analyzer using the MML-TGI data. Several relating parameters have been chosen to that process: customer behaviour, brand preferences, respondents' attitudes to corporate behaviour or the fact, that describes customers' interests in good information. The second important part of the thesis is my own research focused on consumers behaviour as well as on preferences, attitudes, and opinions according to the clothing brands. The last part of the thesis includes semantic differential which describes the respondents' perception of three selected clothing brands - Kenvelo, Adidas a Lacoste.

This thesis focuses on implementation of an algorithm for retinal vessel segmentation in high resolution retinal images.A neural network with two hidden layers was used as the method. A total of 7 features were obtained from matched filtering based on vessel thickness, texture analysis and individual pixels brightness. Within the thesis, the whole database was manually annotated for the implementation of the algorithm and the results. The achieved mean sensitivity reached 80%, specificity 70% and Dice coefficient is 59%.

This thesis contains two main parts, theoretical and implementation. In the theoretical part, there are described the different segmentation methods. Mainly it is about description method Level Set. The aim of practical part was to create a java module for segmentation of biomedical images using Level Set methods. The work solves example of a simple GUI for the display of results.

This master’s thesis deals with issues, which are suitable to solve by the method of adaptive filtering of additive noise in image processing. It deduces an algorithm of the adaptive filtering method. Then it studies properties of this filter. In the end it applies deduced algorithm on a particular picture and compares the results with linear filtering.

The goal of this work was to design fast and simple methods for processing point-cloud-data of urban areas for virtual reality applications. For the visualization of methods, we developed a simple renderer written in C++ and HLSL. The renderer is based on DirectX 11. For point-cloud processing, we designed a method based on height-histograms for filtering ground points out of point cloud. We also proposed a parallel method for point cloud segmentation based on the region growing algorithm. The individual segments are then tested by simple rules to check if it is or it is not corresponding to a predefined object.

Diploma thesis is focused on the description of visitors profile in the South Moravia area. This will be based on the analysis of the actual tourism activity in the area and based on a marketing research among the observed groups. The first part of the thesis is a description of a theory of tourism, tourist behaviour, tourism management and visitors profile. The analysis of the actual situation of the tourism in Brno is described by 6A and SWOT analyse method. The visitor's profiles will be defined from the researched data. According to the researched visitors profiles will be recommended a suggestion for the local agency in Brno in order to develop in the South Moravian region. These suggestions will include a recommendation for the next strategy, new collecting places and innovative research methodology.

Matejickova, P. Consumer behaviour in the market of haircare in the Czech Republic. Diploma thesis. Brno: Mendel University in Brno, 2017. Diploma thesis deals with consumer behaviour on the market of hair care in the Czech Republic. The thesis explores the market of hair care, finds the development in last years and identifies factors which affect consumers during shopping for hair care products. There are used techniques of marketing research like questionnaire and cluster analysis. The output of the thesis is to determine the factors influencing consumer behaviour, characteristics of segments and marketing recommendations for the market of hair care.

The diploma thesis deals with consumer behaviour on the market of alcoholic beverages in Czech Republic and Russia. It explores the market of alcoholic beverages, monitors the development of alcohol consumption, identifies the reasons for alcohol consumption and factors influencing consumers while buying alcoholic beverages in selected countries. In the thesis questionnaire and cluster analysis were carried out. The output of the thesis is to determine the factors influencing consumer buying behaviour, characteristics of segments and market recommendations for the market of alcoholic beverages.