National Repository of Grey Literature 74 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Software Guitar Looper with Remote Control
Kalník, Jan ; Říha, Kamil (referee) ; Schimmel, Jiří (advisor)
This thesis deals with creating a software guitar looper in a visual programming language called Pure Data and also building a specific remote controller for it. The remote cont- roller will be based on a MIDI protocol. As a part of the software, there will be a special aligning algorithm, that will take care of precise alignment of the created loop on beat in the way that no other intrusive rhythmical or tempo related elements are present.
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.
Fingerprint Processing
Pšenák, Patrik ; Krajsa, Ondřej (referee) ; Říha, Kamil (advisor)
My master's thesis deals with the different techniques used in fingerprints processing for identifying fingerprints. Using the software tool Visual C++ and functions of OpenCV library I programmed a separate application, that is able to select from a database of fingerprints the most consistent with a comparative fingerprint images, even when they are mutually shifted in the direction of axes X and Y. The next step in my program is to gather the edges of the fingerprint image. Those obtained using Canny edge detector. Furthermore, getting the contours of the image edges. To determine, whether the contours are the same, just compare some characteristic points of contours. Next I use a histogram function to determine the number of points for approximation of contours and evaluating compliance fingerprints. Since the processing of the input fingerprint image (or rather the approximation of the contour points) remains in the picture as black (background) and red (the approximation of the contour points), this means, that zero and the last element of the histogram represent the number of black and red points. Comparison is in percentage and is obtained by subtracting the approximated points of contours image from the original fingerprint image of approximated contour points of matched fingerprints. It determined, what percentage of red points have disappeared, so as to match two fingerprint images. If on the resulting figure is not left neither a red point, that corresponds to 100% of the fingerprints Compliance.
Audio visualizer
Jelínková, Jana ; Schimmel, Jiří (referee) ; Říha, Kamil (advisor)
The aim of this thesis is to create an audio visualizer. That means an object, whose parameters will be changed in real time based on chosen parameters of an audio. The first part of this thesis deals with different kinds of audio visualizers through history till today and also deals with some artistic theories about visualization. The second part deals with the main solution of the visualizer in Pure Data and principles used for audio processing and also describes development of an external for Pure Data.
Experimental software musical instrument
Čapandová, Zuzana ; Říha, Kamil (referee) ; Dlouhý, Dan (advisor)
This thesis focuses on realization of experimental electroacoustic software musical instrument, which uses non-contact sound parameters control via Kinect XBOX ONE motion sensor. The software is developed in C# using the NAudio open source library.
Video stabilization using global optimization algorithms
Bartoš, Patrik ; Říha, Kamil (referee) ; Kříž, Petr (advisor)
This bachelor thesis focuses on video stabilization using CRS (Controlled Random Search) and GA (Genetic Algorithm) optimization algorithms. It describes registration process, geometrical transformations, interpolation methods, similarity criteria and optimization algorithms. It also briefly describes structure of the program created in MATLAB. Finally it contains results of achieved stabilization.
Measuring positions of objects using a pair of cameras
Sláma, Adam ; Říha, Kamil (referee) ; Kříž, Petr (advisor)
The thesis focuses on acquiring spatial information of a digital image. Simple measuring device consists of two static cameras and of a created software, which is able to find the coordinates of measured object in the sensing area with certain accuracy due to the reference coordinate system. The program was formed in the development environment Microsoft Visual Studio 2015 using package of OpenCV libraries in C++ programming language. The program is based on calibration of image, determination of the global and pixel coordinates and on triangulation method.
Applications for image processing for Android OS
Kiac, Martin ; Říha, Kamil (referee) ; Krajsa, Ondřej (advisor)
This work deals with an issue of image processing and detection of predefined objects from the camera on Android platform. This work uses image processing tools and methods from OpenCV library. The work consists of a theoretical part, in which the Android platform itself is described, the structure of the operating system and Android Studio development environment. The theoretical part also contains a description of OpenCV library and describes the theory of image processing using this library. The practical part of this work describes implementation of OpenCV library to development environment Android Studio. The practical part also describes techniques for image processing by OpenCV library. Subsequently this work contains analysis and searching for contours, the use of Hough transformation and segmentation of the processed image. This work also describes realization of graphical user interface and subsequently work with the application's database. The conclusion is about final evaluation of the work and achieved results.
Detection of changes in digital images
Dorazil, Jan ; Kříž, Petr (referee) ; Říha, Kamil (advisor)
This thesis concerns with change detection problematics in digital images captured under indoor conditions with an ordinary integrated camera in two consecutive moments. All challenges that accompany this problem will be discussed, starting with preprocessing and arriving to evaluation of the results. Currently used methods from this field are described and compared with each other such as differencing and LCP (Local Correlation Peak). A novel method, based on LTP descriptors, effectively solving this problem is proposed in this work. The proposed method is then tested on real data. The results of this tests are discussed subsequently. Besides the change detection method a method for parallax error minimization is proposed here.
Automation of Exoscopic Analysis Using Image Processing of Sedimentary Grains Acquired by Electron Microscope
Křupka, Aleš ; Křížek,, Marek (referee) ; Baroňák, Ivan (referee) ; Říha, Kamil (advisor)
This thesis deals with image analysis methods which can be exploited in exoscopic analysis of sedimentary grains, specifically for the purpose of distinguishing between geomorphologic geneses which influenced a form of sedimentary grains. The images of sedimentary grains were acquired by a scanning electron microscope. The main contribution is the proposal of multiple methods that can significantly automate the exoscopic analysis. These methods cover the automatic segmentation of grains in image, the automatic analysis of roundness of 2D grain projection and the classification of geomorphologic geneses according to the grain surface structure. In the section concerning the automatic segmentation, a segmentation method enabling an easy subsequent manual result correction was proposed. This method is based on the split-and-merge approach. The individual steps the procedure were designed to exploit specific properties of sedimentary grain images in order to obtain the best segmentation results. In the section concerning the automatic roundness analysis of 2D projection of sedimentary grains, an influence of pixel resolution on a result roundness value was evaluated. Further, a minimal number of grains, which is necessary to analyze in order to reliably compare a pair of geomorphological geneses, was investigated. For the determination of this number, a method was proposed and experimentally verified. In the section of automatic analysis of sedimentary grain surface structure, a method for classification of geomorphologic geneses was proposed. The method utilizes low-level texture features which describes individual images of sedimentary grains. A model of geomorphological genesis is constituted of a set of histograms representing occurrences of different configurations of low-level texture features. The methods proposed in the thesis were tested and evaluated based on a database, which consists of sedimentary grain samples from 4 different geomorphological geneses (eolic, glacial, slope and volcanic).

National Repository of Grey Literature : 74 records found   1 - 10nextend  jump to record:
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4 ŘÍHA, Karel
4 Říha, Karel
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