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Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
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Measurement and linearization unit for flow meters
Maštera, Martin ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
Thesis describes the design and realization of linearization display unit that will receive pulses from a gear flow meter KRACHT whose frequency corresponds to a flow. The measured value is flow that nonlinearly depends on the temperature and viscosity of the medium. The dependency is described by calibration curves for each flow meter. The task of the diploma thesis is to design, implement, and verify the operation of the display unit, which calculates the actual flow rate from the input data (pulse rate, temperature, viscosity, and flow meter calibration curves). The device will contain a suitable user interface to display all measured values, inputs for connecting measuring sensors, and outputs for transmission of measured data. A part of the device will be a USB interface for configuration and uploading calibration curves from a PC application, which is designed by diploma student.
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Small CNC machine
Bajus, Tomáš ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
This thesis deals with design of small CNC milling machine and its mechanic construction, sensors and control electronic such as using of stepper motor driver, connection of SD card and communication with PC via USB.
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Modern methods for digital scene capturing
Nováček, Petr ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
The thesis composes conventional and modern methods for digital scene capturing. The target of the thesis is a comparison of CMOS with Bayer mask and Foveon X3 Merrill sensors followed by a design of algorithms for image fusion which can combine advantages of the both sensor types. The thesis starts with an introduction and a description of methods and processes leading to scene capturing. The next part deals with capturing a gallery of test images and with a comparison of both sensors based on the gallery images. Further there are algorithms designed for image fusion which can combine advantages of the selected sensors. The last part of the thesis is devoted to an evaluation of results and of the used algorithms.
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Human recognition on thermal images
Jančuš, Rastislav ; Babinec, Tomáš (referee) ; Petyovský, Petr (advisor)
This half-yearly project includes basic briefing about thermovision technics and color models. Analyses functions and concepts for correct settings thermal camera on create images, which are included people. This work contains acquaintance with thermal camera EasIR-4, which was created database testing images, and with software Guide IrAnalyser shipped with this camera. The third part this project includes process about creating color models of skin and algorithm for identification people in thermal images, which emanate from human temperature and color skin. This algorithm is realized in program Matlab.
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Retargeting of the C language compiler
Pončák, Matej ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
In order to program a target architecture in one of the high-level programming languages, the compiler must support that architecture. The thesis describes the structure of SDCC and LLVM compilers and the procedure of retargeting these compilers. The SDCC compiler is widespread among programmers for its simplicity and the LLVM compiler for its great reusability. Finally, this procedure is implemented for the HCS08 series microprocessor in the LLVM compiler.
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Mobile robot in smart house
Kuparowitz, Tomáš ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
Aim of this thesis is to search the market for suitable autonomous robot to be used by smart house. The research in this work is partly done on the range of abilities of smart houses in matter of sensor systems, ability of data processing and their use by mobile robots. The output of this thesis is robotics application written using Microsoft Robotics Developer Studio (C#) and simulated using Visual Simulation Environment. Main feature of this robotic application is the interface between robot and smart house, and robot and user. This interface enables employer to directly control robot's movement or to use automated pathfinding. The robot is able to navigate in dynamic environment and to register, interact and eventually forget temporary obstacles.
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Microprocessor controled security system for house or flat.
Kozák, Matěj ; Petyovský, Petr (referee) ; Macho, Tomáš (advisor)
This thesis deals with security systems used in houses or flats. It contains descriptions and principles of most sensors for detecting a thief, but also protect the dwelling against fire. It explained the selection of appropriate solutions and sensor control unit described the proposal for the evaluation of information from sensors and communicate with computer.
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Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
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