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Measurement of small objects by magnetic resonance
Chotaš, Kryštof ; Bartušek, Karel (referee) ; Klusáček, Stanislav (advisor)
Bachelor thesis deals with the issue of noise reduction in magnetic resonance imaging. In this thesis we discuss about suitable methods of noise reduction for images obtained by magnetic resonance tomography. Including classical methods we also discuss noise suppression by getting fewer slices than in ordinary situation. Then we would obtain remaining slices by interpolation. This thesis also include comparison of application of these methods. This thesis also deals with the issue of magnetic resonance, which is described in first chapter.
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Board Game User Interface with a Camera
Cihlářová, Dita ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
Cílem této práce je vytvořit systém, který bude schopen nahradit reálného protihráče ve hře Dostihy a sázky. Hra je snímána kamerou, ze které se obraz přenáší do počítače, kde probíhá zpracování obrazu a identifikace herních objektů. Dále aplikace analyzuje stav hry a rozhodne o svém následujícím tahu. Rozhodovací algoritmus je schopen reagovat na každou herní situaci a tudíž dohrát hru do konce. Aplikaci mohou využít hráči, jež rádi hrají Dostihy a sázky, ale chybí jim protihráč. Aplikace také může najít uplatnění jako demostrace možností počítačového vidění.
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Algorithmic Evaluation of the Quality of Dactyloscopic Traces
Sloup, Ondřej ; Tinka, Jan (referee) ; Drahanský, Martin (advisor)
Daktyloskopické stopy jsou jedním z klíčových aspektů biometrické identifikace. Reprezentují způsob, jakým lidé mohou ověřit svou identitu a být autorizováni. Nicméně je důležité ohodnotit, jestli daný otisk je validní a jestli dokáže poskytnout dostatek informací na to, aby bylo možné určit, jestli je použitelný anebo ne. Tato analýza rysů otisku dokáže specifikovat, jak moc přínosné pro nás je se daným otiskem zabývat. Navrhli jsme proces, který hodnotí otisky prstů na základě kontextuálních a statistických výsledků. Ne vždy je otisk ve stavu, kde všechny jeho prvky jsou viditelné a je nutné odstranit rušivé elementy před samotným ohodnocením, které by mohli negativně ovlivnit výsledky algoritmů pro hodnocení kvality. Tyto algoritmy rozpoznávají, jakou kvalitu má otisk prstu a jestli bude použit na další proces anebo zahozen. Rozdělili jsme otisky do skupin pomocí jejich kvality, která se hodnotila na základě počtu markantních bodů, počtu papilárních linií, kontrastu, sinusové podobnosti a tloušťky papilárních linií. Úspěšně jsme ohodnotili otisky a rozdělili je podobně jako v NIST SD27 databázi. Z výsledků těchto algoritmů jsme schopni ohodnotit otisky na základě jejich kvality, a tak vyvodit jejich použitelnost.
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Using the Kinect sensor in detection of people
Janás, Lukáš ; Šmirg, Ondřej (referee) ; Přinosil, Jiří (advisor)
Bachelor thesis deals with the methods of people detection by using Microsoft Kinect. Depth image captured by this device is further processed by using standard algorithms from freely available OpenCV library. All of image processing methods are described in detail of their function and influence to image. The practical part of the work is focused on the realization of a simple program, which is serving for image segmentation and finding people.
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Colour image histogram processing
Kučera, Ondřej ; Číka, Petr (referee) ; Říha, Kamil (advisor)
This bachelor thesis deals with processing of colour image histogram. To better undestanding of this problem it describes individual methods which edit colour image and its histogram. The thesis suggests a program implementation which allows processing of colour image and its histogram.
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Time Lapse from Stationary Camera Image
Turek, Lukáš ; Bařina, David (referee) ; Herout, Adam (advisor)
The topic of this master's thesis is the time lapse from stationary camera images. Unwanted phenomena, which arise in time lapse, were analyzed and algorithms to overcome these limitations were designed. The algorithms were implemented and compared using the captured dataset. The resulting application creates time lapse from the video input and allows users to choose the processing technique including the setting of appropriate parameters.
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Neural Network Based Edge Detection
Janda, Miloš ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
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.
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Design and Implementation of Functional Units of an Application for Demonstration of Image Processing Methods
Fadrhonc, Pavel ; Váňa, Jan (referee) ; Orság, Filip (advisor)
The thesis is dealing with implementation of IMPRODEMO image processing application. Author has used existing image processing libraries and has implemented complex application with modern user interface. In order to develop the application, he used framework WPF, method for developing application using tests called Test Driven Development, design pattern MVVM and MEF tool for easy integrating of extensions. Chapter two deals with these technologies and methodologies and describes them. Third chapter describes design of application and presents class diagrams. Fourth chapter describes test driven development and particular pitfalls that emerged from using this methodology. Fifth chapter presents the mean of integrating code written in C++ language into .NET framework and into C# language. At the end, whole work is summarized, resuls are defined and possibilities of resuming and extending the work are proposed.
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Longtime Video
Kubiš, Matěj ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This thesis includes the creation of a graphic user interface for the management of a set of photographies, its navigation, playback and subsequent export into videoformat. It studies the problems of timelapse video and deals with the implementation of algorithms concerning the removal of undesirable effects rising during the process of its creation. To be specific, it processes the interpolation of fluctuating levels of brightness in the sequence and the stabilization of image sequences acquired without a tripod.
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Image processing using Android device - electricity meter value recognition
Sliž, Jiří ; Klečka, Jan (referee) ; Honec, Peter (advisor)
The aim of the work is to design an application for mobile devices with the Android operating system. This application allows image capturing with a camera and image processing with the support of the OpenCV library. The purpose of this application is automatic value recognition of the analog electrometer. The text contains a description of the analog electrometers. The following is characteristic of Android operating system, and this part is directly connected to a draft of the application itself. Next part contains the image processing algorithms, testing and implementation into Android application.
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