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Using blind image filtering for images from TEM microscopes
Nováková, Kateřina ; Mézl, Martin (referee) ; Potočňák, Tomáš (advisor)
Předložená práce se zabývá problematikou slepé filtrace obrazů z transmisního elektronového mikroskopu. V úvodu práce je uveden popis transmisního elektronového mikroskopu. Navazující část popisuje mechanismy interakce elektronů se zkoumaným vzorkem a z toho vyplývající zobrazovací techniky elektronové mikroskopie. Poslední kapitola teoretické části práce zahrnuje popis vybraných metod slepé filtrace obrazu zejména s využitím dekompozice obrazu na charakteristické složky. Taktéž je zde uveden výčet metod pro zhodnocení úspěšnosti filtrace. V praktické části jsou popsány aplikované metody slepé filtrace obrazů a výsledky filtrování. Jednotlivé metody jsou mezi sebou porovnány. Získané výsledky a využitelnost aplikovaných metod jsou zhodnoceny v diskuzi.
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Ultrasound Image Sequences Segmentation
Kořínek, Peter ; Jiřík, Radovan (referee) ; Mézl, Martin (advisor)
When we scan image data by ultrasound, we have a little information of displayed scene. For understanding content of the image we try to separate the observed objects of interest from the background. Obtaining information of these objects is called a process called segmentation. This work is focused on the segmentation of ultrasound image sequences using geometric active contours solved by the method of level sets. For better representation is also dealing with image preprocessing. The result is an implementation of segmentation methods on simulated and real data.
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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.
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Non-contact measurement and analysis of vital signs
Kolářová, Jana ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
The theme of this barchelor´s thesis is to process the video record of a human face to detect vital parameters - heart rate, respiratory rate were chosen. The purpose is a contactless and painless method to determine these parameters, both for the simpler gain of these data in newborns and more natural values without the influence of any subconscious fear of the devices. Or as a method of verifying work ergonomics, workplace stress, depending on the regularity of the rhythms of these parameters. The solution has been focused on testing its function and accuracy under various acquisition conditions, and has been able to reliably verify its reliability under defined scanning conditions.
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Finger vein biometry
Stibůrek, Miroslav ; Svozilová, Veronika (referee) ; Mézl, Martin (advisor)
The following work deals with basics of biometrics terms, history of biometrics, and methods of collecting and recognizing human characteristics. The work includes facts about physics, human anatomy and physiology - these elements are necessary for a full understanding of the issue. In order to segment finger vein, a method of pre-processing scanned visual data is devised. A practical part of paper contains a proposal of a device for scanning finger vein using minicomputer Raspberry Pi and its following realization. Database of images is created using realized device and applicability of extracted finger vein for application in biometric systems is discussed.
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Analysis of MR data
Guzmická, Lea ; Mézl, Martin (referee) ; Fabíková, Veronika (advisor)
The object of the work is diffusion MRI. The work deals with it from acquisition methods to postprocessing methods. The thesis is divided into 7 chapters. These gradually focus on the basic principles of MRI, measuring parameters, the phenomenon of diffusion and various methods of dMRI. The second part is comparing dMRI softwares and direct on actual postprocessing and analysis of data of study comparison of heathy controls and patients suffering eating disorders.
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Sleep stages classification
Cikánek, Martin ; Mézl, Martin (referee) ; Potočňák, Tomáš (advisor)
The aim of this bachelor thesis was to elaborate a literature research on the topic of automatic classification of sleep stages from polysomnographic measurements and to subsequently select a way of feature extraction and quantitatively evaluate it. In the first part, the thesis deals mostly with the theory regarding the classification of sleep stages and analyzes the various possibilities of the process. This part is followed by a description of individual parts of the program, which is used for the extraction and subsequent quantitative evaluation of the features. The work is concluded by statistical evaluation of the results.
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Sensing eye movement using a device BIOPAC and eyetracker Pupil
Vančurová, Johana ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
This bachelor thesis is focused on investigation of visual reaction time of driver using eye movements acquivition. Eye movements were acquired by Biopac device and eyetracker Pupil. The main aim of this work is to compare results of own experiments with points of reference. Theoretical part dealt with anatomy, physiology of eye and describing characteristics of EOG signals. Practical part included experimental measurements to which a group of probands was involved. In the last part of this work the obtained results were compared with the points of reference.
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Image registration using evolutionary algorithms
Kubalová, Eva ; Kozumplík, Jiří (referee) ; Mézl, Martin (advisor)
The diploma thesis deals with the image registration using evolutionary algorithms from metaheuristic optimization techniques which are considered recent and widely used. The frst part of the thesis contains theoretical description of components in image registration and later focuses on the ultrasound images. In that part, the thesis explains chosen evolutionary algorithms. Three optimization methods have been implemented, in particular genetic algorithm, particle swarm optimization and frey algorithm. Chosen similarity metrics for optimization are sum of squared dierences, cosine similarity and correlation coefcient. The main part of thesis includes testing of proposed methods with the evaluation of obtained results. These parameters are later used for optimization of real ultrasound sequences obtained by the contrast imaging.
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Precise Image Registration Used for Correction of Geometrical Image Distortion
Zemčíková, Petra ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
Cílem předkládané diplomové práce je pomocí lícování obrazů přesně popsat distorzní pole pro následné odstranění geometrické distorze. Snímky zkreslené geometrickou distorzí pochází z prozařovacího elektronového mikroskopu. První část práce se zabývá zejména teorií spojenou s elektronovou mikroskopií, vznikem geometrické distorze a samotnou obrazovou registrací s důrazem na intenzitní flexibilní metody lícování. Ve druhé části je pak představena vytvořená metoda pro modelování geometrické distorze a lícování obrazů postižených slabou geometrickou distorzí. Vyvinutá metoda je následně otestována na testovacích i reálných datech a srovnána s existujícími popsanými metodami pro obrazovou registraci (například open-source softwarem Elastix).
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