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Optical detection of electrograms
Hanák, Pavel ; Kozumplík, Jiří (referee) ; Chmelař, Milan (advisor)
The aim of the study was focused on problem of electrograms recording with using voltage sensitive dyes. Study of electrograms recording was extended with thema of optical detectors suitable for measurement and noise analysis. Elimination of noise and disturption was made in program Matlab; lowpass filtration and wavelet transformation was used. Application for electrograms analysis was developed in latter part of this work.
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Relative Displacement Sensor
Koutný, Petr ; Havránek, Zdeněk (referee) ; Beneš, Petr (advisor)
This thesis deals with design of optimal parameters of a relative displacement sensor, working on the electrodynamics principle. The sensor is based on the voltage induction to the coil placed in changing magnetic field. Thesis is divided into three parts: introductory, theoretical and practical. The introductory part provides basic relationships between displacement, velocity and acceleration sensors. The theoretical part contains physical concepts and describes relationships necessary for calculations and creating a model of permanent magnet in COMSOL Multiphysics. In thesis further presents patent research of electrodynamic sensors. The practical part describes the creation of the permanent magnet model and the subsequent calculation of the induced voltage in the coil in Matlab. A description of laboratory measurements follows, presenting the final comparison of the simulation and measurement results. There were found some differences, which might have been caused by incorrect calculation of the induced voltage. The final part of the thesis presents general recommendations for the design of sensor, resulting from simulations and measurements.
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Simulation models of human operator.
Boháč, Petr ; Horák, Karel (referee) ; Havlíková, Marie (advisor)
This paper deals with simulation models of the human operator controlling lateral position of simulated vehicle. I am comparing parameters and quality of the McRuer human driver model and the PID controller. Simulated system is single-track vehicle model. Simulated driver is tasked to pass a Moose test with this vehicle model. I am using the simulated annealing method to find optimal parameters of the driver model and then I visualize realized test in 2D and 3D visualization. In the end of this paper I compare simulations of the driver models and assess achieved results.
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Detectors of image objects and their implementation
Gregor, Michal ; Kohoutek, Michal (referee) ; Kyselý, František (advisor)
Image processing puts more construction on various application areas these days. One of these days vision, which would use picture operations, is producing an autonomic car. It would manager traffic operations on its own. There is often quickly need to image processing for example in evolutions doctors´ or sattelites´ dates. The computer vision is science about digital image processing. This science tries simulate human eye by technical instrument. The man will get information source about surrounding world throught his eyes. It´s necessary connect up gain knowledge and experiences from surrounding world to evolution informations. In the same ways computer´s vision tries to solve the image processing too. This work described processes, which are used to detection 2D objects in the picture. The process of image recognition is engaged in several steps. First, the digital picture is put into the computer and than the picture preprocessing picture partitioning into objects and describe obtain objects follws. At least their classificattion follows. This work is engaged in these problems. The main task of this bachelor effort is evalution primary detector objects. In practically part there is implementation of application in Matlab program. This implementation detects objects in the picture. And makes it possible to test of designed detektor.
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X-ray projection imaging- model of structural noise suppression
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this task is to create a program that will simulate noise components and methods of their elimination for X-ray projection imaging with focus on structural noise. MATLAB has chosen as the environment for the implementation. Some of the toolboxes shipped with MATLAB has also been used, mainly the Image Processing Toolbox. The methods and elements are implemented as independent functions, which are highly configurable through the setting of the input parameters. All of functions are covered in a custom application. The model is become user friendly and it is suitable teaching support as a laboratory task. The methods it is possible to use for the structural noise suppression are: temporal image subtraction, temporal integration, matched filtration and recursive filtration. There are three methods of cumulation for physical noise suppression. With proper settings it is possible to suppress also the periodical motional noise suppression.
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Analysis of cytology images
Pavlík, Jan ; Blaha, Milan (referee) ; Kolář, Radim (advisor)
This master’s thesis is focused on automating the process of differential leukocyte count in peripherial blood using image processing. It deals with the design of the processing of digital images - from scanning and image preprocessing, segmentation nucleus and cytoplasm, feature selection and classifier, including testing on a set of images that were scanned in the context of this work. This work introduces used segmentation methods and classification procedures which separate nucleus and the cytoplasm of leukocytes. A statistical analysis is performed on the basis of these structures. Following adequate statistical parameters, a set of features has been chosen. This data then go through a classification process realized by three artificial neural networks. Overall were classified 5 types of leukocytes: neutropfiles, lymphocytes, monocytes, eosinophiles and basophiles. The sensitivity and specificity of the classification made for 4 out of 5 leukocyte types (neutropfiles, lymphocytes, monocytes, eosinophiles) is higher than 90 %. Sensitivity of classiffication basophiles was evaluated at 75 % and specificity at 67 %. The total ability of classification has been tested on 111 leukocytes and was approximately 91% successful. All algorithms were created in the MATLAB program.
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Mutual similarity of aminoacid sequences in different organisms
Vysoudil, Ladislav ; Provazník, Ivo (referee) ; Škutková, Helena (advisor)
The aim of this semestral project is to try to study and describe work with sequences of proteins of different organisms, namely above all alligment sequences and evaluation of similarities of sequences. At the beginning of this work we deal with biochemistry of proteins, their constitution and structure. Further text go on with theory for work with sequential data, global, local and multiple assignment. At the last part we investigate possibilities of programme Matlab for aforesaid assignment.
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Digital radiography- image processing simulation
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
This paper describes a MATLAB application with the main purpose of the simulation of noise components and noise elimination methods of Digital Radiography. The main parts of simulator are the model of a scene, procedures for loading the noise components to image data and methods for image processing. Various methods are employed depending on the type of noise. Subtraction techniques are used for the elimination of structural noise. The physical noise suppression is obtained using several methods of cumulation and Pixel Shift is used to reduce motion artifacts caused by the existence of moving noise. The techniques of superposition highlight the areas of interest in an image. Included are also auxiliary procedures for simulator running and presentation of final data. The model and the presented application can be used mainly for educational purposes as a powerful didactic tool.
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