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Extraction of arteries and veins from fundus image of human retina.
Pinkava, Marek ; Říha, Kamil (referee) ; Minář, Jiří (advisor)
This thesis deals with processing of retinal fundus images. Vision is the most important human sense and its injury has very serious consequences for humans. Automatic processing of retinal images increases the efficiency of medical examination and accelerates diagnoses of deseases. Retina exhibits unique characteristics for each person and thus can also be used to identify people. In this task is briefly discussed the structure and properties of each parts of the eye, particularly the retina, and their possible diseases such as diabetic retinopathy, glaucoma and age related macular degeneration. Subsequently, the task describes the representation and characteristics of the digital image. Also is devoted to selected image segmentation methods namely thresholding, edge detection and segmentation techniques based on the matched filter. The outcome of this task is the application in which several segmentation methods are implemented for the blood vessels extraction. For each of these methods it is possible to set the parameters of the segmentation to ensure high quality blood vessels extraction in images of different quality.
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Stereoscopic sensor for distance measurement
Vavroš, Ondřej ; Říha, Kamil (referee) ; Hasmanda, Martin (advisor)
This master's thesis will take us through theoretical procedure that allows us to determine the distance of an object by stereoscopic sensor. Part of this work presents the description of the steps to achieve image of objects, calibraton and rectification. At the next part our study provides an overview of algortihms for creating disparity maps and determining the distance of the object from sensor. In the following part of thesis deals with the implementation of these processes into aplication which aim is to measure the distance.
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Audiovisual Work Presentation in Virtual Reality
Lazorčák, Daniel ; Sikora, Pavel (referee) ; Říha, Kamil (advisor)
Goal of this thesis is research of Game Engines aviable for the creation of gallery of audiovisual artworks in virtual reality, research of texture mapping, choice of suitable game engine for our work, creation of scene of the virtual gallery in selected Game Engine, demonstration of projecting the artwork onto exhibit body by streaming it from internet storage with use of ambisonic sound that engine provides and with abillity to control the playback of the piece. Creation of search engine for looking up artpieces in database by using tags with option to project the found piece to the body. Properties of Game Engines Unity, Unreal Engine, Game Maker Studio, Godot and CryEngine are given. A working application of virtual gallery with implented audiovisual artpieces is created.
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Automation of Exoscopic Analysis Using Image Processing of Sedimentary Grains Acquired by Electron Microscope
Křupka, Aleš ; Křížek,, Marek (referee) ; Baroňák, Ivan (referee) ; Říha, Kamil (advisor)
This thesis deals with image analysis methods which can be exploited in exoscopic analysis of sedimentary grains, specifically for the purpose of distinguishing between geomorphologic geneses which influenced a form of sedimentary grains. The images of sedimentary grains were acquired by a scanning electron microscope. The main contribution is the proposal of multiple methods that can significantly automate the exoscopic analysis. These methods cover the automatic segmentation of grains in image, the automatic analysis of roundness of 2D grain projection and the classification of geomorphologic geneses according to the grain surface structure. In the section concerning the automatic segmentation, a segmentation method enabling an easy subsequent manual result correction was proposed. This method is based on the split-and-merge approach. The individual steps the procedure were designed to exploit specific properties of sedimentary grain images in order to obtain the best segmentation results. In the section concerning the automatic roundness analysis of 2D projection of sedimentary grains, an influence of pixel resolution on a result roundness value was evaluated. Further, a minimal number of grains, which is necessary to analyze in order to reliably compare a pair of geomorphological geneses, was investigated. For the determination of this number, a method was proposed and experimentally verified. In the section of automatic analysis of sedimentary grain surface structure, a method for classification of geomorphologic geneses was proposed. The method utilizes low-level texture features which describes individual images of sedimentary grains. A model of geomorphological genesis is constituted of a set of histograms representing occurrences of different configurations of low-level texture features. The methods proposed in the thesis were tested and evaluated based on a database, which consists of sedimentary grain samples from 4 different geomorphological geneses (eolic, glacial, slope and volcanic).
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Sound Visualization
Švihálek, Filip ; Bečková, Zuzana (referee) ; Říha, Kamil (advisor)
This diploma thesis deals with computing parameters of sound signal. It includes methods for describing and implementing these parameters. In the practical part, the main programm is created which is computing and visualizing parameters. The program mis implemented in Microsoft Visual Studio with cooperation of Freeglut and BASS libraries.
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The Segmentation of Ultrasound Images for Artery Wall Detection and Intima-Media Thickness Measurement
Beneš, Radek ; Chromý,, Erik (referee) ; Dostál, Otto (referee) ; Říha, Kamil (advisor)
The thesis focuses on the measurement of intima media thickness, which seems to be a significant marker of the risk of cardiovascular events. Intima media thickness is measured in ultrasound image displaying the common carotid artery in its longitudinal section. In the longitudinal section the intima and media layers are visible. Thesis is discussing both technical and medical background and summarizes state of the art in this field. The main part of the thesis describes the novel automatic system for measurement of intima media thickness. Proposed system includes also robust method for artery localization and therefore is able to process raw B-mode data from ultrasound station without any initialization or manual preprocessing.
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Design of programmable control system
Trpiš, Michal ; Říha, Kamil (referee) ; Koula, Ivan (advisor)
The goal of diploma thesis is design of programmable control system. This system can be used for regulation of basic parameters in an aquarium. Primary parameters for selection of this device are the price and the easy realization of final device. In first step there are selected parameters, which are needed to control. In second step there is described which kind of sensors can be used for measuring of selected parameters and suitable regulation of necessary parameters. The device is supposed to communicate with PC by USB and this communication is going to be compatible with an old RS-232. Device must be completed with hardware design. Device will be in principle system with real time, that is the reason why device will contain microcomputer. A microcomputer must communicate with other integrated circuit in the device and it supposes to communicate with PC. In specific chapter it will be described, how many different kinds of communication it is possible. For microcontroller it is necessary to create a program, which can figure the measured parameters and it also allows setting up the way how parameters can be regulated. Measured parameters are supposed to storage in the specific memory for the later interpretation. The completely device must be put into a case, which is calculating with a damp place. There must be created a host application for PC. This application suppose to detect if device is connected, figure measured parameters and also allows to set up the way, how to regulate the parameters and display the storages parameters. The application is suppose to run on the operation system created by Microsoft (Windows XP and Windows Vista or later). Diploma thesis contains a problem of the analysis which parameters may be controlled and the way how it can be controlled. There will be selected the sensors, which are suppose to measure and there will be described the basic data transfer and the specifications. It will also contain description of the hardware and software implementation of the device and possibilities of the user’s settings. There will be described the host application and its possibilities. Finally there will be described a functionality of the device and the host application. It will be also imagined some system upgrades for future.
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Usage of advanced signal processing techniques for motor traffic safety enhancement
Beneš, Radek ; Říha, Kamil (referee) ; Atassi, Hicham (advisor)
This diploma thesis deals with the issue of the recognition of road signs in the video sequence. Such systems increase the traffic safety and are implemented by major car factories in the manufactured cars (Opel, BMW). First, the motivation for the utilisation of these systems is presented, followed by the survey of the current state of the art methods. Finally, a specific road-sign detection method is chosen and described in detail. The method uses advanced techniques of signal processing. Segmentation method in color space is used for sign detection and subsequent classification is accomplished by linear classification with optional use of PCA method. In addition, the method contains the prediction of road sign positions based on Kalman filtering. Implemented system yields relatively accurate results and overall analysis and discussion is enclosed.
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Database of non-biometric and soft biometric human traits
Mlýnková, Barbora ; Říha, Kamil (referee) ; Dvořák, Pavel (advisor)
This paper is dealing with the detection of secondary biometric and nonbiometric characteristics in the picture, for the use of person identification. These characteristics are described and categorized. It also deals with the design of the database structure, which works with masks and categories of characteristics for their processing. This work might be practically used for machine learning.
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