National Repository of Grey Literature 113 records found  beginprevious102 - 111next  jump to record: Search took 0.01 seconds. 
Image interpolation
Hejdová, Martina ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
In this thesis, basics, attributes and usage of image interpolation are described. Multiple methods of interpolation are described in detail. Theoretical knowledge of interpolation are practicaly demonstrated in Matlab environment on selected methods of interpolation including my own implementation of quadratic and linear interpolation. Tests were run on different types of images, mostly on biomedicine ones. Single interpolations are also applied on histogram. Results are compered to each other and figure to the graphs.
Numerical Method of Image Registration Using Nonlinear Geometric Transform
Stodola, Jakub ; Druckmüller, Miloslav (referee) ; Štarha, Pavel (advisor)
The goal of the thesis is to find general nonlinear geometric transformation, which compensates irregular deformation of images, so that they could be registered. In the introductory part, necessary mathematical tools are stated, especially convolution, correlation and Fourier transform. In the next part, method of phase correlation is stated, followed by algorithms used for finding the geometric transformation. Those algorithms are implemented in computer program, that is included.
Implementation of edge detector using wavelet transform
Pálka, Zbyněk ; Rášo, Ondřej (referee) ; Růčka, Lukáš (advisor)
This thesis is focused on edge detection in image. In theoretical part are contained genarally used methods of edge detection using first and second-order derivate and both of mentioned methods are described here. Further it’s deiscribed here continuous, descrete and two dimensional descrete wavelet transform and process of noise removing in image by descrete wavelet transform. In next part are analysed two methods of edge detection using wavelet transform and their possible realizations in program Matlab. In practical part of thesis is in detail described algorithm of program on edge detection using wavelet transform and it‘s described here individual functions of program. The main content of practical part are visual results of wavelet edge detector and their comparison with Canny, Prewitt and Sobel edge detector.
Numerical image processing methods for rotating condenser microscope images processing
Týč, Matěj ; Martišek, Dalibor (referee) ; Druckmüller, Miloslav (advisor)
Tato práce popisuje vznik obrazu v transmisním světelném mikroskopu s proměnnou aperturou kondenzoru. Tento způsob pořizování obrazu je výhodný při pozorování tlustých vzorků, což jsou objekty, u kterých je v mikroskopickém měřítku významná výška. Klasické transmisní mikroskopy pro tento výzkum vhodné nejsou, protože výsledný obraz, který produkují, obsahuje patrné informace z velkého objemu vzorku mimo oblast, která je vyšetřovaná. Tento problém byl vyřešen po vynálezu konfokálního mikroskopu, který je ovšem daleko dražší a má i některé nevýhody navíc. Cílem je zpracovat obrazy pořízené pomocí kondenzoru s rotující aperturou tak, aby došlo k redukci podílu nežádoucí informace a obraz se tak stal "čistším". Tato metoda zpracování obrazu nemohla být použita v minulosti, protože tehdejší počítače neměly dostatečnou paměť a výkon. Na tuto metodu se dá nahlížet jako na převod množiny výstupů z mikroskopu s vylepšenou osvětlovací soustavou na odpovídající množinu výstupů konfokálního mikroskopu.
Presentation of selected themes of BSIS in PPT-environment
Havlín, Radomil ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
The bachelors thesis occupy by topics of the course BSIS, which can be presented by the multimedia and animation techniques in the presentation. In the introduction, these topics are given a different method of processing. In most cases, provides a modular solution by demonstration and argued spectrum signal. The chapters describe the operation with one, two signals at the time, the properties of Fourier transform with illustrative demonstration, the correlation with convolution, kvaziperiodické signals and the last chapter the spectrum of selective signals.
Automatic setting of lens system and camera orientation
Zeman, Martin ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This thesis is focused on problems of adjusting camera parameters (focus, aperture, zoom). It is also focused on target detection and following this target with a camera. Histogram equalization is a part of this thesis as well.
Implementations of algorithms for signal filtering in the field programmable gate array
Jíša, Pavel ; Macho, Tomáš (referee) ; Valach, Soběslav (advisor)
This diploma thesis is engaged in implementations of algorithms for signal filtering in the field programmable gate array utilising the C and ImpulseC programming language. It is focused on one-dimensional FIR and IIR filters and also two-dimensional such as convolution and Sobel's operator. Moreover, evaluations of these filter algorithms are included.
Multimedia support of the course BSIS
Pasečný, Jan ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
This paper takes aim at creating a consistent form of study materials, supplemented with illustrative examples, for Signals and systems subject. The thesis starts with basic characteristics of acoustic, image, biological and communication signals. Characteristics of linear signals and AD&DA conversion has been added to the next part and to complete the submission, discrete signals follow. Diploma thesis as a whole contains basic theoretical description of problematics, which it tries to supplement with interesting examples, connections, graphs and matlab scripts for illustrative presentation of mentioned problematics.
Multichannel Image Deconvolution
Bradáč, Pavel ; Kolář, Radim (referee) ; Jiřík, Radovan (advisor)
This Master Thesis deals with image restoration using deconvolution. The terms introducing into deconvolution theory like two-dimensional signal, distortion model, noise and convolution are explained in the first part of thesis. The second part deals with deconvolution methods via utilization of the Bayes approach which is based on the probability principle. The third part is focused on the Alternating Minimization Algorithm for Multichannel Blind Deconvolution. At the end this algorithm is written in Matlab with utilization of the NAG C Library. Then comparison of different optimization methods follows (simplex, steepest descent, quasi-Newton), regularization forms (Tichonov, Total Variation) and other parameters used by this deconvolution algorithm.
Set of excercises for data acquisition,analysis and processin course
Kornfeil, Vojtěch ; Havlíková, Marie (referee) ; Čejka, Miloslav (advisor)
This thesis proposes tasks of exercises for mentioned course and design and creation of automated evaluation system for these exercises. This thesis focuses on discussion and exemplary solutions of possible tasks of each exercise and description of created automated evaluation system. For evaluation program are made tests with chosen special data sets, which will prove it’s functionality in general data sets.

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