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Making OpenType fonts with free software
Bednár, Peter ; Mekyska, Jiří (referee) ; Rajmic, Pavel (advisor)
In thesis themes of typography and computer font of OpenType format is described in details. At the beginning attention is paid to historical development of typeface, where stress is laid mainly on development of Roman and white letter with their characteristics. Having presented basis of typography work is concentrated on topic of digital font with emphasis on possibilities of OpenType format. Further its characteristics and advantages were listed compared to another formats and it was evaluated as format appropriate also for creating font in education process. Letterspacing and kerning were mentioned between basic graphical modifications in creating fonts. In theoretical part of the thesis they were examined in available programs designed for creating font in OpenType format. Except free available means into summary were included also commercial types due to absence of more advanced instruments and functions with free available applications. In evaluation was found that the most convenient for education is Fontlab Fontographer commercial program, free Type lite and Fontforge indicated for Open-source platform. Practical part of the thesis is focused on two chosen programs for creating main font characteristics. The goal was to detect if it is possible to reach identical results when using both programs. Fontographer program enabled to use wide tool palette dedicated to vector graphic processing by means of Adobe Illustrator similar instrument. In the case of Type lite program there were rather less instruments, what is sufficient for elementary work and familiarization with creating of digital typeface. Freeware shortage is basic absence of kerning, spacing or hinting functions. Comparing program possibilities, it falls that freeware programs based on OS Windows with their functionality are sufficient only for entry level users. The best option within free available programs is Fontforge for OS Linux which supports mentioned typographic functions. Fontographer was recommended for teaching of basic characteristics of OpenType font format. Another goal of the thesis was creating of recommended work procedure for creating basic characteristics of OpenType font for students, that is enclosed at the end of the thesis.
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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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Retinal blood vessel segmentation in fundus images via statistical-based methods
Šolc, Radek ; Walek, Petr (referee) ; Odstrčilík, Jan (advisor)
This diploma thesis deals with segmentation of blood vessel from images acquired by fundus camera. The characteristic of fundus images and current methods of segmentation are described in theoretical part. The reach of the practical part is method using statistical model. The model using Student´s distribution for automatic segmentation is gradually drafted. Firstly EM- algorithm has been incorporated and model drafted on Markov random fields for improving robustness to noise after that. Contrast of thin blood vessel is improved in image preprocessing part by discrete wave transformation. The output image is used as mask for grayscale intensity decrease of thinnest blood-vessel and intensity increase of background. Whole model was programed in Matlab. The model was tested on whole HRF database. The quantitative evaluation of binary images were compared with golden standard images.
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Determining the optimal patch size for sparse image representation
Šuránek, David ; Zátyik, Ján (referee) ; Špiřík, Jan (advisor)
Introduction of this thesis is dedicated to the description of basic concepts and algorithms for image processing using sparse representation. Furthermore there is mentioned neural network model called Restricted Boltzmann machine, which is in the practical part of the thesis subject of behaving observation in the task of determining the optimal block size for extrapolation using K-SVD algorithm
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Methods of murine brain 3D imaging focusing on tissue clearing
Novák, Jaromír ; Drbal, Karel (advisor) ; Němec, Pavel (referee)
1 ABSTRACT Many variants of microscopic techniques are the key methods for tissue structure examination in the research as well as in clinical practice. Since the vast majority of examined tissues are intrinsically opaque, it is difficult to reconstruct their 3D structure with light microscopy. However the spatial structure is inherently connected to the function of cells, tissues or whole organs. The most common approach is sample sectioning to the thin layers, which are subsequently examined or used for 3D structure reconstruction of the sample. A different approach is to use a series of chemical reagents able to clear the samples and make them accessible for imaging via microscopy without the need for physical sectioning. Although this approach was first used more than a century ago, the widespread use of these methods came in the last few years. Since the resurgence of tissue clearing method a lot of new principles how to clear the samples were discovered as well as many new chemical compounds can be used for this purpose.. Clearing methods are becoming more and more sophisticated: the volume of samples which can be cleared is continuously growing, new methods are becoming faster and automated, the quality of after-cleared tissues is improving and compatibility with many stains including antibodies is...
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Methods of murine brain 3D imaging focusing on tissue clearing
Novák, Jaromír ; Drbal, Karel (advisor) ; Němec, Pavel (referee)
1 ABSTRACT Many variants of microscopic techniques are the key methods for tissue structure examination in the research as well as in clinical practice. Since the vast majority of examined tissues are intrinsically opaque, it is difficult to reconstruct their 3D structure with light microscopy. However the spatial structure is inherently connected to the function of cells, tissues or whole organs. The most common approach is sample sectioning to the thin layers, which are subsequently examined or used for 3D structure reconstruction of the sample. A different approach is to use a series of chemical reagents able to clear the samples and make them accessible for imaging via microscopy without the need for physical sectioning. Although this approach was first used more than a century ago, the widespread use of these methods came in the last few years. Since the resurgence of tissue clearing method a lot of new principles how to clear the samples were discovered as well as many new chemical compounds can be used for this purpose.. Clearing methods are becoming more and more sophisticated: the volume of samples which can be cleared is continuously growing, new methods are becoming faster and automated, the quality of after-cleared tissues is improving and compatibility with many stains including antibodies is...
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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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Retinal blood vessel segmentation in fundus images via statistical-based methods
Šolc, Radek ; Walek, Petr (referee) ; Odstrčilík, Jan (advisor)
This diploma thesis deals with segmentation of blood vessel from images acquired by fundus camera. The characteristic of fundus images and current methods of segmentation are described in theoretical part. The reach of the practical part is method using statistical model. The model using Student´s distribution for automatic segmentation is gradually drafted. Firstly EM- algorithm has been incorporated and model drafted on Markov random fields for improving robustness to noise after that. Contrast of thin blood vessel is improved in image preprocessing part by discrete wave transformation. The output image is used as mask for grayscale intensity decrease of thinnest blood-vessel and intensity increase of background. Whole model was programed in Matlab. The model was tested on whole HRF database. The quantitative evaluation of binary images were compared with golden standard images.
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Determining the optimal patch size for sparse image representation
Šuránek, David ; Zátyik, Ján (referee) ; Špiřík, Jan (advisor)
Introduction of this thesis is dedicated to the description of basic concepts and algorithms for image processing using sparse representation. Furthermore there is mentioned neural network model called Restricted Boltzmann machine, which is in the practical part of the thesis subject of behaving observation in the task of determining the optimal block size for extrapolation using K-SVD algorithm
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