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Detectors of image objects and their implementation
Gregor, Michal ; Kohoutek, Michal (referee) ; Kyselý, František (advisor)
Image processing puts more construction on various application areas these days. One of these days vision, which would use picture operations, is producing an autonomic car. It would manager traffic operations on its own. There is often quickly need to image processing for example in evolutions doctors´ or sattelites´ dates. The computer vision is science about digital image processing. This science tries simulate human eye by technical instrument. The man will get information source about surrounding world throught his eyes. It´s necessary connect up gain knowledge and experiences from surrounding world to evolution informations. In the same ways computer´s vision tries to solve the image processing too. This work described processes, which are used to detection 2D objects in the picture. The process of image recognition is engaged in several steps. First, the digital picture is put into the computer and than the picture preprocessing picture partitioning into objects and describe obtain objects follws. At least their classificattion follows. This work is engaged in these problems. The main task of this bachelor effort is evalution primary detector objects. In practically part there is implementation of application in Matlab program. This implementation detects objects in the picture. And makes it possible to test of designed detektor.
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Enhancement of bio-medical image signals
Gregor, Michal ; Šmirg, Ondřej (referee) ; Přinosil, Jiří (advisor)
When scanning biomedical images by magnetic resonance or ultrasound, unwanted elements in the form of noise are entered to the image. With help of various methods it is possible the noise from the image partially remove. There are many methods for noise reduction and every one works on a different principle. As a result of this the results of these methods are different and is necessary for them to be objectively assessed. There is use for the adjustment of the images wavelet transformation and some treshold techniques in the work. The quality of the resulting pictures is tested by the methods for objective quallity tests. Testing was done in the MATLAB program environment on the pictures from magnetic resonance and pictures from ultrasound.
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Heat equation with dynamic boundary conditions
Gregor, Michal ; Bárta, Tomáš (advisor) ; Průša, Vít (referee)
In this thesis we deal with the solution of the heat equation with a dynamic boundary condition, which relates the time derivative at the boundary and the normal flow at the boundary. We first deal with the derivation of this dynamic boundary condition and its physical interpretation. Furthermore, we solve problems in one spacial dimension, where we learn the necessary techniques, which we will then use in solving more complex two-dimensional problems on a square, an annulus and a circle. We proceed using the Fourier method. We convert the problem to finding eigenvalues and eigenfunctions of the Laplace operator, which satisfy a special boundary condition. We use the results from articles that say that such constructed eigenfunctions form a complete system in a suitable space of functions and so we are able to construct a general solution as their superposition.
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Detectors of image objects and their implementation
Gregor, Michal ; Kohoutek, Michal (referee) ; Kyselý, František (advisor)
Image processing puts more construction on various application areas these days. One of these days vision, which would use picture operations, is producing an autonomic car. It would manager traffic operations on its own. There is often quickly need to image processing for example in evolutions doctors´ or sattelites´ dates. The computer vision is science about digital image processing. This science tries simulate human eye by technical instrument. The man will get information source about surrounding world throught his eyes. It´s necessary connect up gain knowledge and experiences from surrounding world to evolution informations. In the same ways computer´s vision tries to solve the image processing too. This work described processes, which are used to detection 2D objects in the picture. The process of image recognition is engaged in several steps. First, the digital picture is put into the computer and than the picture preprocessing picture partitioning into objects and describe obtain objects follws. At least their classificattion follows. This work is engaged in these problems. The main task of this bachelor effort is evalution primary detector objects. In practically part there is implementation of application in Matlab program. This implementation detects objects in the picture. And makes it possible to test of designed detektor.
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|
|
Enhancement of bio-medical image signals
Gregor, Michal ; Šmirg, Ondřej (referee) ; Přinosil, Jiří (advisor)
When scanning biomedical images by magnetic resonance or ultrasound, unwanted elements in the form of noise are entered to the image. With help of various methods it is possible the noise from the image partially remove. There are many methods for noise reduction and every one works on a different principle. As a result of this the results of these methods are different and is necessary for them to be objectively assessed. There is use for the adjustment of the images wavelet transformation and some treshold techniques in the work. The quality of the resulting pictures is tested by the methods for objective quallity tests. Testing was done in the MATLAB program environment on the pictures from magnetic resonance and pictures from ultrasound.
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