National Repository of Grey Literature 12 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Pixel-Wise Segmentation Of The Blood Vessels Using Random Forests
Hesko, Branislav
This paper presents segmentation of the blood vessels in retinal images. First, a serie of feature detectors is applied in form of multiple filters. Then, each pixel is classified using random forests, which was trained on labeled images. Promising results have currently been achieved.
Segmentation of the Common Carotid Artery Intima Media Using Active Contour Models
Hesko, Branislav
Ultrasound measurements of the human carotid artery intima media thickness are conventionally obtained using manual tracing between tissue layers. This article consists of different approach, when intima media thickness is determined automatically. Tissue layers are detected by use of active contour segmentation. This method does not use any type of gradient, only intensity based image is needed. Therefore, robustness to speckle noise is present. A total of 15 carotid artery ultrasound images is analyzed to determine wall thickness. For evaluation, each of the images contains manually added marks by an expert.
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.
Text recognition with artificial neural networks
Peřinová, Barbora ; Hesko, Branislav (referee) ; Mézl, Martin (advisor)
This master’s thesis deals with optical character recognition. The first part describes the basic types of optical character recognition tasks and divides algorithm into individual phases. For each phase the most commonly used methods are described in the next part. Within the character recognition phase the problematics of artificial neural networks and their usage in given phase is explained, specifically multilayer perceptron and convolutional neural networks. The second part deals with requirements definition for specific application to be used as feedback for robotic system. Convolution neural networks and CNTK library for deep learning using algorithm implementation in .NET is introduced. Finally, the test results of the individual phases of the proposed solution and the comparison with the open source Tesseract engine are discussed.
Face detection and recognition with use of Raspberry Pi
Rozhoňová, Andrea ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
The following bachelor thesis is focused on the face detection and recognition in an image. The theoretical part divides methods of detection and recognition into several groups and there is better description and explanation of these methods in this part. At the end of the theoretical part is summarized the current utilization of person recognition on the bases of its face in practice. In the practical part is first implemented method for face detection. It is combination of two approaches - approach using haar features and approach using templates of eye. The face recognition is provided by the convolutional neural network. In conclusion there are summarized principles and problems associated with implementation on microcomputer Raspberry Pi and there is also evaluated the success of implemented methods.
Therapeutic game implementation with use of EMG signal
Drozd, Tomáš ; Kolářová, Jana (referee) ; Hesko, Branislav (advisor)
This bachelor thesis describes electromyography which we can use for biofeedback. At first, it describes electromyography and methods of measuring. Then biofeedback is described and its usage for therapeutic purposes or therapeutic games. Also it introduces BITalino device which represents low-cost solution for biofeedback. For practical uses there is provided a program written in C++ which includes Super Mario World. Appliation also draws measuered signal and parameteres calcuted from it.
Mobile application for automatic face detection and recognition
Stejskalová, Kristina ; Kolář, Radim (referee) ; Hesko, Branislav (advisor)
This bachelor thesis aims to implement face detection and face recognition method in Java and creating an Android application for face detection and recognition. Methods generally used for face detection and recognition are described in theoretical part. Chosen methods for face detection and face recognition are implemented and then used for building mobile application.
Design of algorithm for anonymization of ultrasound data
Bugnerová, Pavla ; Hesko, Branislav (referee) ; Harabiš, Vratislav (advisor)
This master’s thesis is focused on anonymization of ultrasound data in DICOM format. Haar wavelet belonging to Daubechies wavelet family is used to detect text areas in the image. Extraction of the text from the image is done using a free tool - tesseract OCR Engine. Finally, detected text is compared to sensitive data from DICOM metadata using Levenshtein - edit distance algorithm.
Simulation of ultrasound sequences in contrast mode
Staňková, Jana ; Hesko, Branislav (referee) ; Harabiš, Vratislav (advisor)
This bachelor thesis deals with the principle of contrast imaging techniques for ultra-sound imaging. In the first part there are described basic principles and characteristics of ul-trasound waves for the understanding. It is also focused on ultrasound contrast agents used in contrast enhanced ultrasound imaging. The important part is the description of perfusion mo-dels with a focus obtain perfusion parametres and analyze perfusion curves obtained by mea-suring the ultrasound contrast agent over time. The second part is devoted to designing a pro-gram for generating simulated ultrasound images and description of the simulation of 2D ul-trasound tomograms.
Simulation of ultrasound sequences in contrast mode
Staňková, Jana ; Hesko, Branislav (referee) ; Harabiš, Vratislav (advisor)
This bachelor thesis deals with the principle of contrast imaging techniques for ultra-sound imaging. In the first part there are described basic principles and characteristics of ul-trasound waves for the understanding. It is also focused on ultrasound contrast agents used in contrast enhanced ultrasound imaging. The important part is the description of perfusion mo-dels with a focus obtain perfusion parametres and analyze perfusion curves obtained by mea-suring the ultrasound contrast agent over time. The second part is devoted to designing a pro-gram for generating simulated ultrasound images and description of the simulation of 2D ul-trasound tomograms.

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1 Hesko, B.
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