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QR code detection under ROS implemented on the GPU
Hurban, Milan ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
Tato diplomová práce se zabývá vývojem a implementací algoritmu pro detekci QR kódů s integrací do platformy ROS a výpočty běžícími na grafické kartě. Z rešerše současně dostupných nástrojů a technik je vybrán vhodný postup a algoritmus je napsán jako modul v programovacím jazyce Python, který je snadno integrovatelný do ROS. Ke zprostředkování výpočtů na vícejádrovém hardware, jako jsou grafické karty či vícejádrové procesory, je využita knihovna OpenCL.
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Object route location
Julínek, Zbyněk ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This project describes image processing, characterization of scenes, especialy differences of screen captures and method motion objects there. Practical part defines the program, which is finding and tracking similar objects on video files or series of images. The program also computes predictions of next location for each object. This thesis is working with only synthesis scenes. I have chosen this way, because we can understand the synthesis scenes as a simplification of world. If solution of tracking and prediction on this scenes are suscesfull, then could be possible resolve also complicated problems.
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Effects of Defects on Composite Structures Load Carrying Capacity: Delaminations at a Bi-Material Interface
Matěják, Vladimír ; Kotoul, Michal (referee) ; Růžička, Milan (referee) ; Juračka, Jaroslav (advisor)
Kompozitní materiály se projevují komplexním způsobem porušování, které může být dále ovlivněno přítomností různých poruch plynoucích z výrobních processů nebo se vyskytujících v průběhu života součásti. Důkladné porozmění procesů porušování a jejich okolností je nezbytné pro navrhování kompozitních konstrukcí, jenž budou bezpečnější, trvanlivější a ekonomičtější. V první části disertační práce jsou popsány způsoby porušování kompozitů a uvedeny současné matematické metody pro analýzu a výpočet únosnosti. Dále jsou zde vyjmenovány hlavní druhy vad a stručně diskutován jejich vliv na vlastnosti kompozitních materiálů. Zvláštní důraz je kladen na delaminace, společně se základními principy lomové mechaniky a jejich uplatnění při výpočtech a zkoušení kompozitů. Druhá část je zaměřena na delaminace na rozhranní dvou různých materialů. Lomová houževnatost byla experimantálně měřena ve třech typech zatížení za účelem stanovení poruchového kritéria založeného na podílu módu I a módu II. Během tohoto experimentu byla vyvinuta nová metoda měření délky trhliny pomocí digitáního zpracování obrazu a rovněž byla navržena nová definice počátku šíření trhliny. Analytické vztahy pro výpočet míry uvolnění deformační energie z naměřených dat byly rozšířeny o vliv rozdílných elastické parametrů materiálů na rozhranní. Podrobnější prozkoumání analytických vztahů a výpočet metodou konečných prvků odhalil, že podíl módu I a módu II je závislý na vzdálenosti od čela trhliny a poruchové kritérium založené na podílu smíšenosti tak nemůže být použito.
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Coevolutionary Algorithm in FPGA
Hrbáček, Radek ; Vašíček, Zdeněk (referee) ; Drahošová, Michaela (advisor)
This thesis deals with the design of a hardware acceleration unit for digital image filter design using coevolutionary algorithms. The first part introduces reconfigurable logic device technology that the acceleration unit is based on. The theoretical part also briefly characterizes evolutionary and coevolutionary algorithms, their principles and applications. Traditional image filter designs are compared with the biologically inspired design methods. The hardware unit presented in this thesis exploits dual MicroBlaze system extended by custom peripherals to accelerate cartesian genetic programming. The coevolutionary image filter design is accelerated up to 58 times. The hardware platform functionality in the task of impulse noise filter design and edge detector design has been empirically analyzed.
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Detection of blood elements
Kadlček, Václav ; Kolář, Radim (referee) ; Lamoš, Martin (advisor)
Thesis deals with the detection and subsequent blood elements classification. Blood elements are described mainly in terms of optical features, that is used for digital image processing. Furthermore, available pre-processing theory, image analysis and methods of classifikation are discussed. Acquired knowledges are applied in MATLAB. Image Processing Toolbox is a pillar for that work within this programming environment. The program includes user interface, thus facilitating communication with the program. The program was tested on blood smear images and the results were evaluated.
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Automatic analysis of videokymographic images by means of higher-level features
Zita, Aleš ; Zitová, Barbara (advisor) ; Horáček, Jan (referee)
Human voice diagnosis is a complicated problem, even nowadays. The reason is poor access to the body itself and the high frequencies of vocal fold vibrations. One of the clinically available imaging methods to address these problems is Videokymography - a technology for capturing the vocal fold vibrations using a special line CCD camera. Individual lines stacked on top of each other form videokymographic recording. Videokymographic images are suitable for automatic characteristics extraction, therefore helping to reduce the laryngologist workload. For this purpose, the set of such methods is being developed in the Department of Image Processing in the Institute of Information Theory and Automation of the Academy of Science of Czech Republic. The ventricular band position and shape determination is one of the important, but difficult, tasks. The aim of this thesis is to propose new method of automatic detection of ventricular band on videokymographic recording using digital image processing techniques.
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Analýza výsledků modelování částicových jevů v počítačových hrách
Novotný, Jiří ; Boldyš, Jiří (advisor) ; Beneš, Jan (referee)
The main subject of this thesis is to design a method that is able to compare the outputs of a manually set up particle system with a video template of a simulated particle phenomenon. For the sake of simplicity, this work is focused exclusively to smoke effects and its comparisons. Specifically, descriptors depicting the color scheme of the examined input videos are proposed as well as the shape descriptors and time variability descriptors, which are based on the image segmentation method called Alpha Matting. This method is able to distinguish foreground objects from the background, while the foreground objects are described together with their transparency. Video template recordings captured specially for the purpose of this work are included. At the end, the resulting method is supported by an example of the gradually improving smoke effect simulation. Powered by TCPDF (www.tcpdf.org)
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Digital Image Processing of Cross-section Samples
Beneš, Miroslav ; Zitová, Barbara (advisor) ; Matula, Pavel (referee) ; Pelagotti, Anna (referee)
The thesis is aimed on the digital analysis and processing of micro- scopic image data with a focus on cross-section samples from the artworks which fall into cultural heritage domain. It contributes to solution of two different problems of image processing - image seg- mentation and image retrieval. The performance evaluation of differ- ent image segmentation methods on a data set of cross-section images is carried out in order to study the behavior of individual approaches and to propose guidelines how to choose suitable method for segmen- tation of microscopic images. Moreover, the benefit of segmenta- tion combination approach is studied and several distinct combination schemes are proposed. The evaluation is backed up by a large number of experiments where image segmentation algorithms are assessed by several segmentation quality measures. Applicability of achieved re- sults is shown on image data of different origin. In the second part, content-based image retrieval of cross-section samples is addressed and functional solution is presented. Its implementation is included in Nephele system, an expert system for processing and archiving the material research reports with image processing features, designed and implemented for the cultural heritage application area. 1
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Analysis of videokymographic images
Zita, Aleš ; Zitová, Barbara (advisor) ; Novozámský, Adam (referee)
In ongoing basic human vocal chord functionality research, scientists try to describe the dependency of the glottal wave characteristics on tone generation and vocal chord properties. One of the affordable vocal chord visualization techniques for clinics is the Videokymography - technique based on recording the vocal chord vibration using a CCD camera modified to a line-scanner. Recorded rows are than combined to form a spatial-time recording. These records are suitable for computer based extraction of the vocal chord characteristics, including the characteristics of the glottal waves. In this thesis the method for automatic detection of the glottal waves was developed and implemented utilizing the digital image processing techniques. The proposed method is primarily focused on processing the healthy vocal chords videokymographic images as they gives us a good reference for the physiology of the human vocal chord organ.
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Data extraction from document scans
Macháč, Bohuslav ; Kolomazník, Jan (advisor) ; Krajíček, Václav (referee)
In this work I developed an application capable of extracting data from scanned documents. For optical character recognition, I used external OCR engine Tesseract, but it can be easily changed. I use document templates, which have informations about data areas and its data types. I tried to automatize most of the steps which are required to extract data or create new data template. User can improve or change results of these steps. For export from application I implemented components, which export data to XML, HTML or plain text. Another components can be easily added, to adapt application for various uses.
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