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Web applications supporting education of 2D computer graphics
Drápela, Zbyněk ; Sysel, Petr (referee) ; Rajmic, Pavel (advisor)
The bachelor thesis deals with two-dimensional computer graphics. Specifically, Bézier curves, increasing their degree without changing their shape and performing subdivision. Furthermore, the Catmull--Clark subdivision algorithm and synthesis of procedural textures. The work aimed to describe the theoretical basis of these areas and to create four web applets using JavaScript and HTML, which will be used as an aid in teaching computer graphics.
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Image Inpainting Methods
Kovacs, Jan ; Špiřík, Jan (referee) ; Průša, Zdeněk (advisor)
This thesis deals with an overview of modern Image Inpainting Methods. There are several best-known methods selected and described in the theoretical part of this work. Each of the selected methods is described and evaluated according to the informations available in literature. Among the methods that were selected and subsequently described in this work are Image Inpainting, Fragment-Based Image Completion, Exemplar-Based Image Inpainting, Gradient-Based Image Completion by Solving Poisson Equation and Inpainting by Flexible Haar-Wavelet Shrinkage. The MATLAB implementation of the Framelet-Based Image Inpainting algorithm forms practical part of the thesis. The Framelet transform was created for the purposes of the algorithm. The user interaction provides GUI, which was also implemented in MATLAB. The GUI allows setting input images, algorithm parameters and interaction with the output. The user is always informed about the current state of the computation, and the current result of image completion is shown to him. Moreover, it was created a tool that allows the user to define the areas to be supplemented, using the mouse. Finally, the algorithm performance is evaluated and compared using both Framelet and Contourlet transform.
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Texture Synthesis
Sousedík, Ctirad ; Štancl, Vít (referee) ; Španěl, Michal (advisor)
This Bachelor's thesis deals with automatic texture synthesis. The main objective is to develop the best possible method of texture synthesis, inclusive a graphical demonstration utility. The original concept, developed by Li-Yi Wei and Marc Lewoy, Stanford University, has been modified to achieve better results. A method of detecting specific structures within texture images has been developed to initialize a synthesized image, and improve the final result. The employed algorithms are foolproof, and only limited numbers of input parameters have to be tuned.
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Texture modeling applied to medical images
Remeš, Václav ; Haindl, Michal (advisor)
and contributions This thesis presents novel descriptive multidimensional Markovian textural models applied to computer aided diagnosis in the field of X-ray mammogra- phy. These general mathematical models, applicable in wide areas of texture modeling outside X-ray mammography as well, provide ideal visual verification using synthesis of the corresponding measured data spaces, contrary to stan- dard discriminative models. All achieved results in the thesis are extensively benchmarked. The thesis presents two methods for breast density classification in X-ray mammography. The methods were tested on the widely known MIAS database and the state-of-the art INbreast database, with competitive results. Several methods for completely automatic mammogram texture enhance- ment are presented. These methods are based on the descriptive textural mod- els developed in the thesis which automatically adapt to the analyzed X-ray texture, thus being universal for any type of input without the need of further manual tuning of specific parameters. The methods' outputs highlight regions of interest, detected as textural abnormalities. The methods provide the pos- sibility of enhancement tuned to specific types of mammogram tissue. Hence, the enhanced mammograms can help radiologists to decrease their false negative...
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Web applications supporting education of 2D computer graphics
Drápela, Zbyněk ; Sysel, Petr (referee) ; Rajmic, Pavel (advisor)
The bachelor thesis deals with two-dimensional computer graphics. Specifically, Bézier curves, increasing their degree without changing their shape and performing subdivision. Furthermore, the Catmull--Clark subdivision algorithm and synthesis of procedural textures. The work aimed to describe the theoretical basis of these areas and to create four web applets using JavaScript and HTML, which will be used as an aid in teaching computer graphics.
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Procedural building reconstruction from building outlines
Kužel, Vojtěch ; Kahoun, Martin (advisor) ; Beneš, Jan (referee)
This thesis presents a method for fast procedural generation of plausible buildings out of their outlines. There are a few methods in existence varying in their speed and in the amount of detail in their results. All of these methods can be utilized on diverse occasions. The user might prefer speed over complexity or maybe better-looking results over robustness to every input. The method presented in this thesis prefers speed and semi-automatic approach. It takes building outlines as an input along with some user defined parameters such as height, reconstructs the building mass with a general hip roof, and synthetizes plausible textures. The results can be then used for example in flight simulators for fast reconstruction of large urban areas based on the data available through, e.g., Open Street Maps.
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Texture modeling applied to medical images
Remeš, Václav ; Haindl, Michal (advisor)
and contributions This thesis presents novel descriptive multidimensional Markovian textural models applied to computer aided diagnosis in the field of X-ray mammogra- phy. These general mathematical models, applicable in wide areas of texture modeling outside X-ray mammography as well, provide ideal visual verification using synthesis of the corresponding measured data spaces, contrary to stan- dard discriminative models. All achieved results in the thesis are extensively benchmarked. The thesis presents two methods for breast density classification in X-ray mammography. The methods were tested on the widely known MIAS database and the state-of-the art INbreast database, with competitive results. Several methods for completely automatic mammogram texture enhance- ment are presented. These methods are based on the descriptive textural mod- els developed in the thesis which automatically adapt to the analyzed X-ray texture, thus being universal for any type of input without the need of further manual tuning of specific parameters. The methods' outputs highlight regions of interest, detected as textural abnormalities. The methods provide the pos- sibility of enhancement tuned to specific types of mammogram tissue. Hence, the enhanced mammograms can help radiologists to decrease their false negative...
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|
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Image Inpainting Methods
Kovacs, Jan ; Špiřík, Jan (referee) ; Průša, Zdeněk (advisor)
This thesis deals with an overview of modern Image Inpainting Methods. There are several best-known methods selected and described in the theoretical part of this work. Each of the selected methods is described and evaluated according to the informations available in literature. Among the methods that were selected and subsequently described in this work are Image Inpainting, Fragment-Based Image Completion, Exemplar-Based Image Inpainting, Gradient-Based Image Completion by Solving Poisson Equation and Inpainting by Flexible Haar-Wavelet Shrinkage. The MATLAB implementation of the Framelet-Based Image Inpainting algorithm forms practical part of the thesis. The Framelet transform was created for the purposes of the algorithm. The user interaction provides GUI, which was also implemented in MATLAB. The GUI allows setting input images, algorithm parameters and interaction with the output. The user is always informed about the current state of the computation, and the current result of image completion is shown to him. Moreover, it was created a tool that allows the user to define the areas to be supplemented, using the mouse. Finally, the algorithm performance is evaluated and compared using both Framelet and Contourlet transform.
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|
|
Texture Synthesis
Sousedík, Ctirad ; Štancl, Vít (referee) ; Španěl, Michal (advisor)
This Bachelor's thesis deals with automatic texture synthesis. The main objective is to develop the best possible method of texture synthesis, inclusive a graphical demonstration utility. The original concept, developed by Li-Yi Wei and Marc Lewoy, Stanford University, has been modified to achieve better results. A method of detecting specific structures within texture images has been developed to initialize a synthesized image, and improve the final result. The employed algorithms are foolproof, and only limited numbers of input parameters have to be tuned.
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