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Computer analysis of medical image data
Krajčír, Róbert ; Šmirg, Ondřej (referee) ; Uher, Václav (advisor)
This work deals with medical image analysis, using variety of statisic and numeric methods implemented in Eclipse and Rapidminer environments in Java programming language. Sets of images (slices), which are used here, are the results of magnetic resonance brain examination of several subejcts. Segments in this 3D image are analyzed and some local features are computed, based on which data sets for use in training algorythms are generated. The ability of successful identification of healthy or unhealthy tissues is then practically tested using available data.
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Step-down converter with variable output voltage in range from 20 to 100 V
Pazourek, Petr ; Šmirg, Ondřej (referee) ; Hanák, Pavel (advisor)
This master's thesis describes the design and the implementation of a step-down converter with variable output voltage for laboratory purposes. In the introduction the basic functions of switching power supplies are shown, flyback, forward and push-pull converters are described, followed by some integrated circuits for power management of converters. The second chapter discusses in detail the design of requested switched power supply, including the calculation of the electronic parts and design of the storage inductor. Following are described some observations of building this power supply, including the output characteristics. In conclusion, the obtained results are assessed, including proposals to improve whole design.
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Monitoring of human body in videosequence
Plačko, Michal ; Šmirg, Ondřej (referee) ; Číka, Petr (advisor)
This thesis deals with human body detection and gestures tracking in videosequences. First, processing of videosequences in general is described. Further, different methods of human body detection are described and represented by significant papers. The most of the attention is focused on detection by real AdaBoost algorithm based on Haar-like features and Edgelet features. The practical part starts with selection of method that is implemented in this thesis. This method is detection by real AdaBoost based on Haar-like features. Further, different options of videosequence processing in JAVA are researched with justification of choice OpenCV library with JavaCV wrapper, which is used in this thesis. In the end, application itself is described, including description of GUI and description of each class and its functionality.
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Automatic control system of technology facility
Brabec, Luboš ; Šmirg, Ondřej (referee) ; Hubálek, Jaromír (advisor)
This bachelor's thesis deals with problematics of technological procedures and techniques for modification of microelectrodes with nanostructures. Furthermore, it describes a device needed for automated production of nanosensors, their properties and communication with computer. These devices communicate through RS-232 and USB interfaces.
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Linux user interface using camera
Dolníček, Petr ; Beneš, Radek (referee) ; Šmirg, Ondřej (advisor)
The goal of this was to create a fully functional program coded in C++, which is capable of real time object detection and mouse positioning in operating system Linux. Object detection is based on recognizing desired color and shape from webcam input. In this case it was a red circle. The main part of source code was generated via application Harpia. This is an application especially created for purposes of object tracking, border detection and picture processing. Most of used functions belong to OpenCV library. This library, as well as Harpia application, was created for computer vision, so it has many functions especially for purposes of my program. You can find many information about edge detection, color filtering and noise reduction in this document. I have also managed to control mouse cursor according to data that program detects. My program fulfils its purpose.
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Methods for biomedical image signal segmentation in Java
Románek, Jakub ; Smékal, Zdeněk (referee) ; Šmirg, Ondřej (advisor)
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.
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XMPP protocol Jabber features and its utilization for multimedia transmission
Havlena, Petr ; Průša, Zdeněk (referee) ; Šmirg, Ondřej (advisor)
Master’s thesis is trying to create opensource IM application for communication in Jabber network. In nowadays it is getting more and more popularity as at providers, so mainly at end users. In first half of thesis are explained basics of whole issues and in second half is described resulting application, which has been created by using of object oriented programming language Java. Java is very extended between programmers for her simplicity and great support. Thanks this is available a many external libraries and extensions. Application has been written on Smack library in version 3.04 and VoIP module on JMF (Java Media Framework). Graphic interface has been created by using of standard Java visual components (javax.swing).
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Static image compression techniques
Jirounek, Matěj ; Šmirg, Ondřej (referee) ; Krajsa, Ondřej (advisor)
Bachelor’s thesis dissert on nowadays used compression technologies static image, about their keystones, advantages and disadvantages in field of application and their reciprocal comparison. Work is divided to the seven capitols, second of which handles indicative allocation data compression, third about lossless compression and their main representative and fourth chapter is about less compression picture with her advantages and disadvantages as well as about colour models. In fifth chapter there are summarized used criteria for classification picture and in sixth chapter is shownd implementation programme in environment MATLAB.
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Automatic Face Recognition in Real Environment
Kičina, Pavol ; Šmirg, Ondřej (referee) ; Přinosil, Jiří (advisor)
This master‘s thesis describes the identification faces in real terms. It includes an overview of current methods of detection faces by the classifiers. It also includes various methods for detecting faces. The second part is a description of two programs designed to identify persons. The first program operates in real time under laboratory conditions, where using web camera acquires images of user's face. This program is designed to speed recognition of persons. The second program has been working on static images, in real terms. The main essence of this method is successful recognition of persons, therefore the emphasis on computational complexity. The programs I used a staged method of PCA, LDA and kernel PCA (KPCA). The first program only works with the PCA method, which has good results with respect to the success and speed of recognition. In the second program to compare methods, which passed the best method for KPCA.
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Approximation function implementation into PIC microprocessor
Petřík, Tomáš ; Sysel, Petr (referee) ; Šmirg, Ondřej (advisor)
This bachelor‘s thesis deals with the implementation of approximation function into the PIC microprocessor. Thesis is focused on microprocessor architecture and analysis of approximation functions. Then for actual implementation is chosen the method of least squares, and because of its relative simplicity and accuracy in comparison with other methods. Microcontroller is using the A/D converter to measure the dependence of non-linear system, which is connected to the microprocessor. Measure the voltage on a logarithmic potentiometer, which represents non-linear system, depending on the position of the slider track resistance. Then, using the method chosen microprocessor calculates the characteristic non-linear system. The measured values are compared with the theoretical, calculated the chosen method. The values measured, and their theoretical difference is then displayed on the display, connected to the microprocessor. In conclusion, then discuss the results together with the possibility of further developing this work.
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