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Resampling and Correction of Images
Lysáková, Veronika ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This bachelor thesis is focusing on design and implementation of the application for resampling and correction of image which allows movement of the pixels of a photo and that way to fix small mistakes whilst taking photographs or correct the image. One part of the work describes existing tools for adjustments of photographs and geometric transformations which are being used to make these adjustments.
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Evaluation of influence of interpolation methods on coregistration of radar images
Slačíková, Jana ; Potůčková, Markéta (advisor) ; Hlaváčová, Ivana (referee)
Evaluation of influence of interpolation methods on coregistration of radar images Abstract SAR interferogram processing requires subpixel coregistration of SAR image pair for accurate phase differencing. Errors in alignment introduce phase noise in SAR interferogram. Last step in coregistration is resampling one of SAR images. Also this step introduces errors in SAR interferogram. The resampling algorithms Nearest Neighbor, Bilinear interpolation, Cubic Convolution and advanced methods such as Raised Cosine kernel, Knab interpolation kernel and Truncated Sinc were tested on ERS tandem data and compared. The results were compared with the theory and simulations of earlier investigations (Hanssen, Bamler, 1999), (Migliaccio, Bruno, 2003) and (Cho ... [et al.], 2005). The main experiment in this work was to examine and compare resampling methods on real data to evaluate their effect on the interferometric phase quality and DEM generation. The coregistration performance was evaluated by the coherence (Touzi ... [et al.], 1999) and the sum of phase differences (Li ... [et al.], 2004). No evidence showed that computationally intensive algorithms produced better quality of interferogram than Cubic Convolution. The possibilities of evaluating by means of the accuracy of the final InSAR DEM (Li, Bethel, 2008) were...
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Image Processing in FPGA
Přibyl, Bronislav ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
Images for scientific purposes are taken by optical devices, such as microscopes, cameras etc., which usually consist of system of lenses and optical sensor. Most lenses suffer from various distortions. Geometrical distortion may not be acceptable for example for precise distance measurement in the image. This thesis describes fast algorithm for separable image resampling capable of correcting smooth geometrical distortions caused by lenses. An FPGA implementation of this algorithm is also described.
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Image Transformations
Novák, Radim ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
The main goal of this thesis is to introduce two fundamental geometric transformations in 2D space - by changing the resolution together with related image resampling and image rotation. Also brightness interpolation, technique of mapping and other problems related to the topic are explained there, i.e. Fourier transformations, problem with aliasing and technique of aliasing suppression.
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OpenCL standard
Michlovský, Jakub ; Trzos, Michal (referee) ; Průša, Zdeněk (advisor)
This work discussed about the OpenCL standard, which can use video card for accela- ration intensice calculations. In first part is an detail analyze of architecture of standard and support by major hardware manufacturers and operating systems. In the second part is described a creation and implementation of the application for adjustment of the picture. Whole work is ended by comparative measurment of the time of recon to processor and on the graphic card.
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A Set of Raster Analysis Tools for ArcGIS
Hupšil, Radim ; Šilhavá, Jana (referee) ; Hrubý, Martin (advisor)
This project is about studying geographic information system ArcGIS. It focuses on possibilities of extending ArcGIS by custom extensions and method of their programming. Furthermore some basic tools of raster analysis are ilustrated. This project's main objective is to design and implement custom implementation of ArcGIS extension, which provides a set of tools for raster analysis. Design is inspired by an existing extension - Spatial Analyst developed by ESRI.
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Evaluation of Object Detection in Image
Černošek, Bedřich ; Behúň, Kamil (referee) ; Zemčík, Pavel (advisor)
The main goal of this bachelor's thesis was to propose the evaluation method of object detection. Result of this work was to create a program which performs the evaluation of object detection on suitable data sample and intuitively displays result to user. The task was to propose suitable experiments and dataset for proving correctness of evaluation. Part of this work was to find optimal parameters for face detection and optimal photo preprocessing before the face detection.
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Implementation of digital metronome with oversampling in VST technology
Křupka, Aleš ; Přikryl, Lubor (referee) ; Mačák, Jaromír (advisor)
This bachelor’s thesis presents solution to requirement of implementation of digital metronome in VST technology. In the beginning, there is analysis of basic characteristics of digital metronome, that helps to suggest algorithm realizing digital metronome. Algorithm is encapsulated into C++ class with appropriate interface, which is suitable for usage in different technologies of digital sound signal processing. This way encapsulated metronome is implemented in VST technology as plug-in. For this reason, thesis contains a brief introduction to VST software development kit, definitions of its basic methods and way how to do graphical user interface of VST plug-in. For realizing of function enabling choice of any sound loaded from wav file, there is a description of RIFF format, that specifies the format of saving multimedia data into drive. Using this knowledge, the function of loading from wav file is implemented. In order to adjust sampling frequency of loaded sound, thesis deals with problems of sample rate conversion and implements resampling function.
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Evaluation of tree crown detection with various spatial resolutions of aerial images
Miklas, Vojtěch
This work reviewed various tree detection and delineation algorithms and developed another one for ESRI ArcGIS Desktop software. This algorithm which employs the principles of local maxima filtering and region growing technique was enhanced by successfully applying NDVI index. Consequently, this algorithm was tested on 11 sample plots. These plots were located in the forest stand 187 C 10a (according to Forest Management Plan 2013 - 2022) in the forest section Proklest which belongs to the forest district Habrůvka in The Training Forest Enterprise Masaryk Forest Křtiny. The results were consequently, evaluated using these 6 different spatial resolutions: 10 cm, 20 cm, 40 cm, 60 cm, 80 cm and 100 cm. This evaluation was based on the comparison with manually vectorised 1,560 tree crowns. Spatial resolution of 40 cm provided the most accurate results for tree counting. At a standard deviation of 7.8 %, the accuracy reached 98 % of the reference layer. In the case of tree crown delineation, the most accurate results were provided for the spatial resolution of 80 cm. The accuracy reached 103 % with standard deviation of 9.6 %.
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