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Segmentation of cardiac tissue fibrosis in MRI data
Sokol, Norbert ; Mézl, Martin (referee) ; Kolář, Radim (advisor)
Late gadolinium enhancement cardiovascular magnetic resonance imaging can be used to visualize pre-ablation fibrosis or post-ablation myocardial scar. This can significantly helps patients with myocardial fibrosis to determine region of fibrosis and for post-operative validation of intervention after radio-frequency catheter ablation. In this thesis, i introduce an algorithm for successful distinguish of fibrosis on datasets of patients with myocardial fibrosis, scanned at Faculty hospital at St. Anne’s University Hospital.
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Automatic classification of pronunciation of the letter „R“
Hrušovský, Enrik ; Vičar, Tomáš (referee) ; Harabiš, Vratislav (advisor)
This diploma thesis deals with automatic clasification of vowel R. Purpose of this thesis is to made program for detection of pronounciation of speech defects at vowel R in children. In thesis are processed parts as speech creation, speech therapy, dyslalia and subsequently speech signal processing and analysis methods. In the last part is designed software for automatic detection of pronounciation of vowel R. For recognition of pronounciation is used algorithm MFCC for extracting features. This features are subsequently classified by neural network to the group of correct or incorrect pronounciation and is evaluated classification success.
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Czech startups from a gender perspective
Irikovská, Alexandra ; Nyklová, Blanka (advisor) ; Pospíšilová, Marie (referee)
This thesis attempts to answer the question why there are so few female founders of startup companies in the Czech Republic. In order to identify the main roots of gender inequality in this field and obtain a detailed understanding of the gender culture of Czech startups, biographic-narrative interviews were conducted with women in managing positions as well as female founders of Czech startups. Through in-depth analysis of these women's narratives, key areas were identified which contribute to the reproduction of gender segregation in this field. The research found that the inequality is mainly caused by gender stereotypes towards women in the field of technology, which even the interviewed women reproduce through identification with a specific type of masculinity. In an attempt to fulfill the gendered expectations from an ideal startup founder or manager women often find themselves in conflict with the traditional role of women in the Czech Republic. The second group of women on the other hand emphasize the importance of femininity and indentify themselves against this type of masculinity. The analysis also showed the importance of the gender inequalities in the technical field of education, that are also reflected in the startups. The author recommends a further research into the following areas...
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Typology of Visitors of Handball Club HC SPORTA Hlohovec
Špániková, Lucia ; Šíma, Jan (advisor) ; Voráček, Josef (referee)
Topic: Typology of Visitors of Handball Club HC SPORTA Hlohovec. Object: The main aim of this thesis has been to design the typology of visitors of Handball Club HC SPORTA Hlohovec handball club. Methodology: The data have been collected by means of quantitative marketing research. The basic set was represented by 484 attendants at three different matches men's first league. In the synthetic part of thesis the typology has been devised via by methods of k-means. Results: The results of questionary research are presented through graphs in the analytical section. The synthetic section of the thesis is devoted to the description of the character of each of the four suggested segments. Key words: handball, sports viewer, typology, segmentation, k-means.
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Searching for Objects in Pictures
Motlík, Matúš ; Žák, Marek (referee) ; Zbořil, František (advisor)
This bachelor's thesis deals with solving the problem of searching simple objects in pictures. The aim was to create a program that will be able to search simple objects in grayscale images. In this theses are described progressively steps of image processing. There are described preprocessing of image, segmentation, description of segmented data, classification and searching for objects in image.
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Ultrasound Image Sequence Segmentation
Gallo, Vladimír ; Walek, Petr (referee) ; Mézl, Martin (advisor)
This paper presents basic principles of ultrasonography, review of different modes of medical ultrasound imaging, principle of contrast-enhanced ultrasonography and review of basic techniques of image segmentation. The individual methods based on edge detection and region growing were implemented in Matlab. The performance of algorithms were tested in each category using synthetic and phantom image data.
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Rotational 3D scanner
Švehla, Ľubomír ; Polák, Ladislav (referee) ; Kaller, Ondřej (advisor)
The point of this project is to design and construct a rotational 3D scanner. It is both about the hardware and software part. Low construction price is important factor in the hardware part and therefore the hardware part is really simple. Software part is solved by the FFmpeg tool and programming environment MATLAB. From the selected number of frames from the synchronized video the irradiated part is segmented. Consequently by compositing these traces a 3D model is gained. To gain a better result, the program uses two cameras. Program can be fully controlled from GUI.
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Machine Understanding of Maps and Optimal Trajectory Calculation
Kršák, Pavol ; Burian, František (referee) ; Chromý, Adam (advisor)
The teasis deals with the creation of software tools, which use human element to extracts data necessary for navigation in the field of raster maps for orienteering. To achieve this goal, it is important to segment individual sections of the map according to symbols on the map. These symbols are illustrated on the map with one colour or combinations of colours, which create patterns. Because of identification of individual symbols, the work deals with segmentation according to colours and pattern matching. To navigate in the field is important information on height differences on the ground , for this reason the work discusses the position of contour identification and determination of their heights. Combining terrain data with data about height differences will create a 3D color models in XNA. To navigate in such a terrain that is used A* algorithm , in which the test several heuristic model defined distance. The A* algorithm then provides the optimum route according to specified criteria .The resulting application conveys the necessary tools to analyze raster maps orienteering , these tools are the manual and the automatic nature. The work includes detailed operating instructions of developed application.
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