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Wind shear as a dangerous fenomenon in aviation
Novozámský, Adam ; Jebáček, Ivo (referee) ; Krška, Karel (advisor)
This thesis is about wind shear and its influence on aviation. There is wide theoretical description of wind shear and it’s implemented into aviation practice. There are also methods of observation, forecasting and reporting, for both pilots and meteorologist described. In this thesis, pilots can find useful recommendations for dealing with wind shear during the flight. Every reader can also read about famous aviation accidents and look at models of weather that caused those accidents. At the end of thesis there are analyses of a rawiosonde measurements related to wind shear reports. This whole thesis is focused on increasing awareness of wind shear in aviation from angle of view of both pilots and aviation meteorologist.
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System for automatic size and type control of cars rims
Staněk, Roman ; Novozámský, Adam (advisor) ; Pilát, Martin (referee)
At the end of every automotive assembly line, there is a quality control process where factory workers check produced cars for potential defects. The computer vision field, especially neural networks for images, have great potential to complement human staff in order to produce as safe and reliable cars as possible. In this thesis we focus on the validation, whether all four wheels on a single car match in size and type. We introduce and experiment with both neural networks and traditional computer vision techniques. The approach we use is to first detect the car then classify its wheels and try to estimate their size. In the end we build a functional prototype of the system that is running in real-time. The data for this thesis were recorded in Škoda Auto factory in Mladá Boleslav in cooperation with the company. 1
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Content-Based Image Retrieval: from Primitive to Advanced Techniques
Kostelecká, Adéla ; Novozámský, Adam (advisor) ; Kleber, Florian (referee)
The Wienbibliothek im Rathaus, Vienna City Library, collected over 300 thousand posters scanned in high quality from the last 100 years. Browsing and searching in such a large dataset is beyond human power. Therefore, a project was set up in cooperation with the Technical University of Vienna to test the possibilities of automatic data annotation on a selected sample. One of the requirements was Content-based Image Retrieval - retrieving images based on their visual content. This thesis reviews these techniques that emerged over the last decades. We focus on simple techniques based on colour, texture, and shape, as well as more advanced algorithms using convolutional neural networks. We implement these methods and compare their retrieval effectiveness on par- ticular image datasets. Finally, we describe the functionality of a developed web application. 1
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Analysis of videokymographic images
Zita, Aleš ; Zitová, Barbara (advisor) ; Novozámský, Adam (referee)
In ongoing basic human vocal chord functionality research, scientists try to describe the dependency of the glottal wave characteristics on tone generation and vocal chord properties. One of the affordable vocal chord visualization techniques for clinics is the Videokymography - technique based on recording the vocal chord vibration using a CCD camera modified to a line-scanner. Recorded rows are than combined to form a spatial-time recording. These records are suitable for computer based extraction of the vocal chord characteristics, including the characteristics of the glottal waves. In this thesis the method for automatic detection of the glottal waves was developed and implemented utilizing the digital image processing techniques. The proposed method is primarily focused on processing the healthy vocal chords videokymographic images as they gives us a good reference for the physiology of the human vocal chord organ.
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Detection of varroa destructor using computer vision
Machalová, Markéta ; Novozámský, Adam (advisor) ; Bartoš, Michal (referee)
The bachelor thesis deals with the design and description of a tool that can simplify the process of monitoring varroosis. Using image processing methods, it detects individual mites from the picture of the bottom board in the beehive. For better image resolution we used several images from one bottom board. Those images were then stitched into one image using image registration. In the first part we focused on the use of classical image processing methods that can detect varroa only on the basis of the approximation of the body of the mite with a parametrically descriptive curve. In the second part we used a more powerful convolutional neural network. During each of the 500 training epochs we saved the parameters of success. Finally, we inserted a test data into the trained network and compared it with expected outputs. The thesis contains a theoretical description of algorithms and methods, their use in our detector, and interpretation of results. 1
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METHODOLOGY OF VOICE DISORDER EVALUATION FROM VIDEOKYMOGRAPHY RECORDS
Vydrová, J. ; Švec, J. G. ; Zitová, Barbara ; Novozámský, Adam ; Zita, Aleš ; Šorel, Michal
The aim of the methodology „Evaluating voice disorders from videkymographic data“ is to provide a comprehensive information on a new diagnostic method for diagnosis of functional and organic disorders of the voice - videokymography (VKG). The methodology is intended for otorinolaryngology and phoniatry specialists. The methodology will also serve as a study material for both trainers and trainees of the certified course „Videokymography in Medical Practice“. The diagnostic method consists of a patient examination technique and of an evaluation of the examination results. Thie data are automatically evaluated by software created to support the VKG diagnostics.
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Analysis of videokymographic images
Zita, Aleš ; Zitová, Barbara (advisor) ; Novozámský, Adam (referee)
In ongoing basic human vocal chord functionality research, scientists try to describe the dependency of the glottal wave characteristics on tone generation and vocal chord properties. One of the affordable vocal chord visualization techniques for clinics is the Videokymography - technique based on recording the vocal chord vibration using a CCD camera modified to a line-scanner. Recorded rows are than combined to form a spatial-time recording. These records are suitable for computer based extraction of the vocal chord characteristics, including the characteristics of the glottal waves. In this thesis the method for automatic detection of the glottal waves was developed and implemented utilizing the digital image processing techniques. The proposed method is primarily focused on processing the healthy vocal chords videokymographic images as they gives us a good reference for the physiology of the human vocal chord organ.
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