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Multiparametric segmentation of MR images
Chovanec, Ján ; Šmirg, Ondřej (referee) ; Dvořák, Pavel (advisor)
The aim of the thesis was familiarity of segmentation methods for automatic segmentation of MR images, using multiparametrical display. The theoretical part focuses on the description of methods of segmentation techniques. In the practical part are implemented K-means and level-set method. The methods are tested on the images of the brain obtained by different sequences (T1, T1c, T2, FLAIR). Segmentation methods are implemented in the program MATLAB. Implemented segmentation accuracy is demonstrated on data which there are reports reference results. Evaluation methods is performed using different classifiers decision. The K-means method is tested different metrics and different combinations of the input image. Finally, both methods are compared with one another and visually evaluated against the reference image.
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Detection of security aids in image signal
Burdík, Vojtěch ; Šmirg, Ondřej (referee) ; Přinosil, Jiří (advisor)
This work is devoted to the relatively new field of computer – computer vision. It focuses on the recognition of people, positioning and colour detection of clothing placed on person. The aim is to build an algorithm that would be able to locate the person in the picture and would make colours tests of clothing and helmets. For image processing were used OpenCV library functions and from algorithms was compiled program solving this problem. The output of the program is the answer, what colour is person at stated locations wearing, and if clothing and helmet are the same colour, the person is evaluated as properly dressed. The resulting program is then disassembled and parts of the code are in detail described in this work. There is explained how to use correctly each OpenCV function used in program.
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Advanced QR-Code reader for Android
Kubík, Martin ; Přinosil, Jiří (referee) ; Šmirg, Ondřej (advisor)
The aim of this diploma thesis was to created application for detection and decoding QR codes using devices with the Android Operating System. For preprocessing of the visual field camera is used OpenCV library. Designed preprocessing string searches a perspective transforms possible QR codes. This is suppressed a shape distortion QR code that would otherwise reduce the successful decoding. At the same time the preprocessing string applied unsharp mask, which reduces the effect of motion blur image caused by the camera motion. Thus preprocessing scene is finally decoded using ZXing library. Described manner it is possible to achieve a higher success rate detection and decoding of QR codes than other conventional QR readers.
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Computer analysis of medical image data
Krajčír, Róbert ; Šmirg, Ondřej (referee) ; Uher, Václav (advisor)
This work deals with medical image analysis, using variety of statisic and numeric methods implemented in Eclipse and Rapidminer environments in Java programming language. Sets of images (slices), which are used here, are the results of magnetic resonance brain examination of several subejcts. Segments in this 3D image are analyzed and some local features are computed, based on which data sets for use in training algorythms are generated. The ability of successful identification of healthy or unhealthy tissues is then practically tested using available data.
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Monitoring of human body in videosequence
Plačko, Michal ; Šmirg, Ondřej (referee) ; Číka, Petr (advisor)
This thesis deals with human body detection and gestures tracking in videosequences. First, processing of videosequences in general is described. Further, different methods of human body detection are described and represented by significant papers. The most of the attention is focused on detection by real AdaBoost algorithm based on Haar-like features and Edgelet features. The practical part starts with selection of method that is implemented in this thesis. This method is detection by real AdaBoost based on Haar-like features. Further, different options of videosequence processing in JAVA are researched with justification of choice OpenCV library with JavaCV wrapper, which is used in this thesis. In the end, application itself is described, including description of GUI and description of each class and its functionality.
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Automatic control system of technology facility
Brabec, Luboš ; Šmirg, Ondřej (referee) ; Hubálek, Jaromír (advisor)
This bachelor's thesis deals with problematics of technological procedures and techniques for modification of microelectrodes with nanostructures. Furthermore, it describes a device needed for automated production of nanosensors, their properties and communication with computer. These devices communicate through RS-232 and USB interfaces.
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Comparison of 3D objects in JAVA language
Zapletal, Tomáš ; Smékal, Zdeněk (referee) ; Šmirg, Ondřej (advisor)
The main aim of the thesis is loading of 3D models in different file formats and its displaying, creating of slices from 3D models and vice versa making 3D models from slices, quantify inaccuracy of anti-aliasing and other formatting and investigate similarity of original and edited models. Everything in Java programming language and its extensions for 3D object tasks. Thesis builds on earlier project „3D shape from MRI“.
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3D shape from MRI
Menclík, Tomáš ; Smékal, Zdeněk (referee) ; Šmirg, Ondřej (advisor)
The main aim of the thesis is the reconstruction of three-dimensional surface from a~set of two-dimensional images. For the implementation of this application the programming language Java and its extension, that allows work with three-dimensional models, were chosen. First, viewing of three-dimensional models of two different file formats was necessary to allow. To create the three-dimensional models, the Marching Cubes algorithm was used. This algorithm is decribed theoretically in the text, description of the implementation and correction of deficiencies follows. Finally, the implementation of the inversion procedure of reconstruction of the three-dimensional surface, which is the extraction of two-dimensional images from the three-dimensional model, is described.
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Methods for biomedical image signal segmentation in Java
Románek, Jakub ; Smékal, Zdeněk (referee) ; Šmirg, Ondřej (advisor)
This thesis contains two main parts, theoretical and implementation. In the theoretical part, there are described the different segmentation methods. Mainly it is about description method Level Set. The aim of practical part was to create a java module for segmentation of biomedical images using Level Set methods. The work solves example of a simple GUI for the display of results.
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Processing of X-Ray images in studying jawbone diseases
Kabrda, Miroslav ; Šmirg, Ondřej (referee) ; Mikulka, Jan (advisor)
The subject of this thesis is a method proposed for automated evaluation of the parameters of X-ray of cystic disorders in human jawbones. The main problem in medical diagnostic is the low repeatability due to the subjective evaluation of images without using a tool for image processing. In this thesis are described the basic steps of image processing, various methods of image segmentation and chosen segmentation method live-wire. Selected segments were processed in the ImageJ Java environment. In the cystic regions their basic statistical and shape properties were evaluated. The obtained values were used for learning the classification model (decision tree) in the environment RapidMiner. This model was used to create a plug-in for automatic classification of the type of cysts in the program ImageJ.
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