National Repository of Grey Literature 26 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Replacement of QR Codes by Colored Matrices
Moc, Filip ; Szentandrási, István (referee) ; Herout, Adam (advisor)
This bachelor's thesis is about developing new color code for saving digital data in an image. In this report you can find informations about existing related technologies including some existing codes. You can also find here design of the new code and it's gradual improvements. There is also description of generation and recognition of this code. Finally there are results of experiments which demonstrates the success of all the work.
Neural Network Based Edge Detection
Janda, Miloš ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
Aim of this thesis is description of neural network based edge detection methods that are substitute for classic methods of detection using edge operators. First chapters generally discussed the issues of image processing, edge detection and neural networks. The objective of the main part is to show process of generating synthetic images, extracting training datasets and discussing variants of suitable topologies of neural networks for purpose of edge detection. The last part of the thesis is dedicated to evaluating and measuring accuracy values of neural network.
The comparison of edge detectors
Dula, Marek ; Loučka, Pavel (referee) ; Procházková, Jana (advisor)
In this bachelor thesis we focus on the comparison of different methods for finding edges and filtering noise in the image. In the introduction, we focus on basic concepts related to the issue. Subsequently, we describe the individual methods of edge detection and noise filtering in the picture. The next part contains software processing of individual methods in Matlab software. Finally, we compare the individual noise filters and edge detectors.
Similarity Measure of Points of Interest in Image
Křehlík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.
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.
Design of a New Method for Stereovision
Kopečný, Josef ; Drahanský, Martin (referee) ; Orság, Filip (advisor)
This thesis covers with the problems of photogrammetry. It describes the instruments, theoretical background and procedures of acquiring, preprocessing, segmentation of input images and of the depth map calculating. The main content of this thesis is the description of the new method of stereovision. Its algorithm, implementation and evaluation of experiments. The covered method belongs to correlation based methods. The main emphasis lies in the segmentation, which supports the depth map calculation.
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.
Advanced Rendering in OpenSceneGraph Library
Ondruška, Jiří ; Přibyl, Jaroslav (referee) ; Švub, Miroslav (advisor)
This bachelor's thesis presents OpenSceneGraph library and its use with shaders written in OpenGL Shading Language. First of all it presents the basics of GLSL. Next chapter introduces the basics of OpenSceneGraph library. Following chapters are about different shaders. First is vertex displacement mapping, followed by cartooning and the last one is water surface.
3D Volume Rendering Data Visualization
Varga, Marek ; Herout, Adam (referee) ; Kršek, Přemysl (advisor)
This thesis deals with using theoretical knowledge of computer graphic and vector mathematics for volume data construction and vizualization. This work provides more methods volume data vizualization and optimization. Algorithms and mathematical principles are necessary for data obtaining, correct interpretation, filtration and error correction and vizualization. This work describes possibilities of method voxel splatting. Model which implements this method is a part of this work and it contains some techniques for drawing process which include skipping empty sections and effective addressing of properties of volume data. System also provides interactive rendering and volume data manipulation.
Canny's Operator and Other Useful Edge Detectors
Janda, Miloš ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
This work introduces main approaches for digital image processing and defines fundamental terms for successful understanding. Main aim is description of several suitable methods used in digital image pre-processing, methods for edge detection and consequent post-processing of these. The final goal of this work is effective implementation and complex comparison of methods for edge detection.

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