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Non-Photorealistic Rendering
Žilák, Jaroslav ; Bartoň, Radek (referee) ; Žák, Pavel (advisor)
The main purpose of this thesis besides providing the reader with basics of non-photorealistic rendering, is concept and possible solution for system realization, which is capable of this rendering using image post-processing. This thesis describes solution that is sufficiently flexible to support use of integrated filters along with the creation of new ones that can be recursively used to create another filters for this type of rendering. Thus part of this thesis is some kind of manual which provide basic syntax description and possibilities of use.
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Smoke and Fire Detection in Video Sequences
Tomek, Peter ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis aims to analyse a videosignal given in input and find segments that contains fire or smoke. The problem is divided into two cases-detection of fire and detection of smoke. The first and main step of analysation is detection of segments by Gaussian mixture model that is trained by Expectation-Maximization algorithm, or shortly EM algorithm. For smoke detection is than used method of optical flow. The final segments are than processed by some morphological methods and determination of their position is made. Finally, the output of algorithm is again a videosignal in which segments that probably contains fire or smoke are highlighted.
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Library for Efficient Video Capture in 3D Application
Pospíšil, Petr ; Navrátil, Jan (referee) ; Havel, Jiří (advisor)
This thesis deals with library for recording video in the background of 3D application. A library is designed to work under the Microsoft Windows and Linux operation systems. It records image and also sound. Image recording is supported in OpenGL, Direct3D9, Direct3D10 and Direct3D11. To reduce video data size, library supports image compression using MJPG codec. Audio is recorded by WaveForm audio, Windows Core Audio or ALSA. Recorded sound is for whole operation system. A library is able to record up to two audio streams to accommodate possible microphone input. It can mix audio data together if needed. Output data are then written into AVI file. It is possible to write own text information as overlay that is rendered as part of application screen output.
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System for Import of Photos
Pučálka, Martin ; Mlích, Jozef (referee) ; Zemčík, Pavel (advisor)
The goal of this thesis is design and implementation of stand-alone program for import of photos. Program can find already imported photos in computer and skip them during next import. Searching for identic photos is based on comparing metadata. Thanks to this way of comparasion, aplication doesn't need to load and compare image data and searching can be faster. Implemented were also functions for separating, renaming and adding metatada to photos.
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Target tracking
Černín, Jan ; Horák, Karel (referee) ; Janáková, Ilona (advisor)
The subject of this bachelor thesis was to program an algorithm, which would be able to process image data from connected camera. Real-time application is working with data in basic of evaluated position of the object and control robotic head that turns and follows selected target. Whole algorithm implements two methods of tracking which are written in program language C/C++ using functions of OpenCV library.
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Free algebraic structures and their application for segmentation of a digital image
Čambalová, Kateřina ; Solovjovs, Sergejs (referee) ; Pavlík, Jan (advisor)
The thesis covers methods for image segmentation. Fuzzy segmentation is based on the thresholding method. This is generalized to accept multiple criteria. The whole process is mathematically based on the free algebra theory. Free distributive lattice is created from poset of elements based on image properties and the lattice members are represented by terms used by the threshoding. Possible segmentation results compose the equivalence classes distribution. The thesis also contains description of resulting algorithms and methods for their optimization. Also the method of area subtracting is introduced.
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Thermal image processing using the superresolution technique
Petrásek, Daniel ; Číka, Petr (referee) ; Mekyska, Jiří (advisor)
Thesis deals with problematic of raising digital image spacial resolution, mainly thermal image. There are mentioned methods of interpolation, panorama and super-resolution. Main topic of this thesis is super-resolution which is detailly described during the thesis. Finally there is a description of algorithm implementation and problems that may occur during the implemetation.
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The idnetification of the objects in the imege
Zavalina, Viktoriia ; Fliegel, Karel (referee) ; Boleček, Libor (advisor)
Master´s thesis deals with methods of objects detection in the image. It contains theoretical, practical and experimental parts. Theoretical part describes image representation, the preprocessing image methods, and methods of detection and identification of objects. The practical part contains a description of the created programs and algorithms which were used in the programs. Application was created in MATLAB. The application offers intuitive graphical user interface and three different methods for the detection and identification of objects in an image. The experimental part contains a test results for an implemented program.
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Determination of an area and proportions of selected objects in a picture
Mittner, Ondřej ; Stančík,, Petr (referee) ; Říčný, Václav (advisor)
The master’s thesis describes hardware opto-electronic instruments for contactless measurement of surfaces. It concentrates on instruments used for opto-electrical transformation of a taking scene and software processing of digital pictures. It presents selected methods of pre-processing, segmenting and following final modifications of these pictures. Then it deals with measuring of areas of surfaces and sizes of selected objects in these pictures and conversion of results from pixels to SI system of units. Possible divergences of measuring are described as well. A flow chart of a program for automatic and manual measuring of surfaces and sizes of objects in a picture, which is commented in detail, is a part of the thesis. The main product of this thesis is application Merovo, which provides measuring of an area and proportions of included objects. This application is analysed and described in detail in this thesis.
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object matching
Mišta, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
Detection of objects based on color is not commonly used method of computer vision. There are many methods thats deals with the detection of significant points, but the color information has been omitted. The goal of this thesis is to design method of the detection significant color image areas and these areas match up with areas detected in another image. I analyzed features of detectors required to identify the reciprocal correspondence of images, defined the color significance concept, described basic color models and their properties, and a design of statistically compiled data - based method was described. Algorithms for the detection of color use color models RGB and HSV. Correspondence of areas detected in different images is performedy Kohonen neural network. The first input vector can teach Kohonen neural network and the second vector is classified by this network. To remove erroneous classifications RANSAC method is used. As a result, the method can be used for basic and rapid determination of correspondence between images, or to speed up commonly used methods for detection of significant points. At the end of the thesis are presented programs, showing functionality and options of design methods. The designed algorithms have been developed in MATLAB.
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