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Ultrasound image processing
Pokorný, Vojtěch ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
Ultrasound is an important imaging modality used in medicine. This bachelor’s thesis includes theory regarding physical characteristics of ultrasonic waves, a brief overview of the historical development of ultrasound as an imaging modality in medicine, biophysics of spreading and biological effects of ultrasound waves on tissues and types of display final images. Next part of the thesis describes diagnostic ultrasound device, including the most common used types of ultrasound probes. This part is followed by description of animal Vevo 2100 ultrasound system from which the acquired data are processed further. Processing includes the loading, display and for DICOM files saving too. At various file formats DICOM standard comparison is done. The last chapter deals with the filtration of characteristic noise for ultrasound images called speckle.
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Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyper parameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of reimplementation of the unary classifier.
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DICOM protocol analysis and its utilisation in image signal processing
Valouch, Lukáš ; Přinosil, Jiří (referee) ; Šmirg, Ondřej (advisor)
This Bachelor thesis describes DICOM which is a summary of standards for handling, storing and transmitting information in medical imaging. This standard is developed by organizations ACR and NEMA, it is very large file and it contains 18 of documents which are an actual version of this norm. The last norm was got out in 2008. The most important part of this format of date and files is data image processing so called off-line communication. It follows description of implemented application in C, C++ languages by the help of Imebra library. This Imebra library is free in terms of license of GNU GPL. The resultant program is standard of DICOM from, which is described above. This program is concerned with imaging of 16 bits of dept on 8 bits of dept of display devices, for example common computer displays. This application is able to display several layers of DICOM’s pictures. Each of layers contains separated bites which are presented by importance of levels.
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Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyperparameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of implementation of the unary classifier.
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Exploitation of Neural Networks for Fusion of Image and Non-Image Data
Reich, Bořek ; Maršík, Lukáš (referee) ; Zemčík, Pavel (advisor)
This master thesis uses convolutional neural networks to fuse image and non-image data. Both deep learning detection systems that rely only on image data (images from the camera) and that use both image and non-image data (images from the camera and data from the millimeter-wave radar) are studied in this thesis. A unique dataset containing raw millimeter-wave radar data and corresponding time-synchronized images from the camera was created for the purpose of comparing these two types of methods (data fusion methods and methods that utilize only image data). Furthermore, a time synchronization method for millimeter-wave radar and cameras using only off-the-shelf hardware is proposed. Finally, the created dataset is used to verify the detection capability of the system that uses only camera data and the fusion system that uses both millimeter-wave radar and camera data.
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Web-Based Image Annotation Tool
Vostřejž, Tomáš ; Hradiš, Michal (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with the development of a web application for image data annotation. Describes the design and implementation of the client and server side of a tool that works with video files. Supports object tracking using interpolation. It is implemented in JavaScript using the Angular platform and the Express library. Allows the user to create point, line, stroke, rectangle, and polygon annotations. Annotations are created based on annotation templates that the tool organizes into groups. Datasets have one or more annotation groups and the user has the option to transfer and reuse them between datasets using a personal library. The tool exports the resulting annotations in JSON format.
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Exploitation of Neural Networks for Fusion of Image and Non-Image Data
Reich, Bořek ; Maršík, Lukáš (referee) ; Zemčík, Pavel (advisor)
This master thesis uses convolutional neural networks to fuse image and non-image data. Both deep learning detection systems that rely only on image data (images from the camera) and that use both image and non-image data (images from the camera and data from the millimeter-wave radar) are studied in this thesis. A unique dataset containing raw millimeter-wave radar data and corresponding time-synchronized images from the camera was created for the purpose of comparing these two types of methods (data fusion methods and methods that utilize only image data). Furthermore, a time synchronization method for millimeter-wave radar and cameras using only off-the-shelf hardware is proposed. Finally, the created dataset is used to verify the detection capability of the system that uses only camera data and the fusion system that uses both millimeter-wave radar and camera data.
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Web-Based Image Annotation Tool
Vostřejž, Tomáš ; Hradiš, Michal (referee) ; Špaňhel, Jakub (advisor)
This thesis deals with the development of a web application for image data annotation. Describes the design and implementation of the client and server side of a tool that works with video files. Supports object tracking using interpolation. It is implemented in JavaScript using the Angular platform and the Express library. Allows the user to create point, line, stroke, rectangle, and polygon annotations. Annotations are created based on annotation templates that the tool organizes into groups. Datasets have one or more annotation groups and the user has the option to transfer and reuse them between datasets using a personal library. The tool exports the resulting annotations in JSON format.
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Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyperparameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of implementation of the unary classifier.
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