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Speckle noise suppression
Kuchař, Otakar ; Hesko, Branislav (referee) ; Mézl, Martin (advisor)
Master thesis deals with the study of ultrasound. The first part of this work is devoted to basic physical principles, imaging modes, ultrasound probes, biological effects and the last part is associated with the artifact associated with ultrasound waves. In the next part the specific noise called speckle noise is detaily discussed. The description includes both a mathematical and a statistical view. Several methods are described to eliminate this noise. In the practical part the described methods are realized and compared based on objective and subjective evaluation.
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Neural Network Based Edge Detection
Jamborová, Soňa ; Grézl, František (referee) ; Švub, Miroslav (advisor)
This work is about suggestion and implementation of the software for detection of edges in images using neurons network. It defines basic terms for this topic and focusing mainly at preperation imaging imformation for detection using nerons network. Describing and comparing different aproachings for using implemented software on synthetic and real set of images, including experiments.
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Hardware Acceleration of Image Filtering
Fiala, Martin ; Martínek, Tomáš (referee) ; Kořenek, Jan (advisor)
This master's thesis contains introduction to image filtration problems, especially to theoretical outlets, whose origin lies in linear systems theory and mathematical function analysis. There are described some approaches and methods which are used to image smoothing and for edge detection in an image. Mainly Sobel operator, Laplace operator and median filter are covered. The main contents of this project is discussion of some approaches of hardware acceleration of image filtering and design of time effective software and hardware implementations of filters in a form of program functions and combinational circuits using theoretical knowledges about time complexity of algorithms. Hardware and software implementation of named filters was done too. For every filter, time of filtration was measured and results were compared and analyzed.
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Image segmentation of ultrasound images
Schwarzerová, Jana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This bachelor’s thesis deals with basic description of ultrasonography, principles of contrast-enhanced imaging and application of segmentation methods in ultrasound problematics. Some individual methods were implemented in Matlab, version R2015b. Algorithms were tested on synthetic images data, on ultrasound phantom images data and on real ultrasound images. Then the thesis was extended by ultrasound sequences segmentation.
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Preprocessing of 1D gel electrophoresis image
Hlavatý, Matej ; Harabiš, Vratislav (referee) ; Vítek, Martin (advisor)
The aim of this project is an automatic analysis of 1D gel electrophoresis results. Basic principles of gel electrophoresis and types of errors and signal noise influencing the result are studied. The proposed algorithm serves for automatic detection of lanes in the image. Summation projection on the horizontal axis is created from black-and-white digital pictures of electrophoresis. Local minima of the profile are located after smoothing the profile. In the location of these minima borders between lanes are established.
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Separation of dynamic and static structures in a series of images
Gebrtová, Karolína ; Kosová, Petra (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis is focused on the separation of static and dynamic structures of video. While the major part of the video background remains static, a few moving particles can be observed. Such video can be represented by a low-rank and a sparse component. Using a low-rank structure, the background can be separated by applying either the median filter or the dynamic mode decomposition. Furthermore, the thesis includes the robust principal component analysis which can be perceived as an optimization problem. In addition, the thesis is enhanced by result visualization methods.
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Digital filters for image processing
Všetička, Václav ; Říha, Kamil (referee) ; Číka, Petr (advisor)
This work is dedicated to methods for editing the digital image. When you need an suitable algorithm to highlight the desired information from the image, or conversely, suppress disturbing elements in the picture. This work describes a few most basic image editing filters to use common in technical and medical practice. The result of this work are implementing some filters into Java.
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Automatic recognition of human hand gestures
Olejár, Adam ; Křupka, Aleš (referee) ; Číka, Petr (advisor)
This bachelor thesis is aimed at realization application detecting hand in the video from a webcam. The first section describes the pre-processing options and object detectors based on different methods. Second part of the project talks about cross-platform Java language and useful libraries for project realization. The third section is a summary realization of the assignment.
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Techniques Used for Image Smoothing, Blurring and Sharpening
Kubínek, Jiří ; Šilhavá, Jana (referee) ; Venera, Jiří (advisor)
This work is dedicated to methods used for digital image editing. It defines fundamental terms for this work as color space or noise. Above all, it analyses methods allowing image sharpening and blurring. It describes some of the most known algorithms from the theoretical point of view, but also introduces their implementation in C programming language. There are compared according to time complexity. The purpose of this work is to introduce digital image filtering and demonstrate elementary procedures used for their implementation.
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