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Compensation of distortions caused by movements of objects scanned by a line scan camera
Szabó, Michal ; Shehadeh, Mhd Ali (referee) ; Škrabánek, Pavel (advisor)
Tato diplomová práce se zaměřuje na kompenzaci zkreslení v datech ještěrek získaných pomocí řádkové skenovací kamery (LSC), která snímá ultrafialové (UV) vlnové délky. Dýchací pohyby během skenování způsobují zkreslení šířky trupu ještěrky, což ovlivňuje konečný snímek LSC. Práce navrhuje metody zpracování obrazu pro úpravu těchto zkreslení, včetně extrakce kontur, interpolace a vyhodnocení pomocí referenčního snímku. Metodika má za cíl minimalizovat rozdíl mezi upraveným LSC snímkem a referenčním snímkem.
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Detection of cells in confocal microscopy images
Hubálek, Michal ; Štursa, Dominik (referee) ; Škrabánek, Pavel (advisor)
The goal of the thesis was to create an application that automatically detects healthy cardiomyocytes from images captured by a confocal microscope. The thesis was created based on the specific needs of researchers from the Slovak Academy of Sciences.The application will facilitate and increase the efficiency of their research,because until now they have to evaluate the images and search for suitable cells manually. The RetinaNet convolutional neural network is used for detection and has been implemented in a user-friendly desktop application. The application also automatically records and stores coordinates of detected cells which can be used for capturing cells in higher image quality. Another advantage of the developed application is its versatility, which allows to train detection on other data, making it applicable to other projects. The result of this work is a functional, standalone and intuitive application that is ready to be used by researchers.
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Laboratory device with temperature control
Telecký, Jakub ; Škrabánek, Pavel (referee) ; Němec, Zdeněk (advisor)
This work deals with regulation and procedures that can be used for this. The theoretical part therefore presents the basic concepts of automation and controllers. The main part is the practical part. The purchased system consists of a regulated system, which must be set up correctly. Using system identification and known procedures, sample examples of how to best set the controller are compiled. The result is a sample laboratory task that automation students can try and gain experience with methods of setting up the controller.
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Detection of multiple objects using computer vision
Maršala, Štěpán ; Škrabánek, Pavel (referee) ; Parák, Roman (advisor)
The aim of the bachelor's thesis is designing and realizing an algorithm for different shapes, colors, and sizes object detection. The paper is divided into five chapters. The first chapter includes introduction to so far developed computer vision. The second chapter describes functions and uses of open source library OpenCV, which is used in practical part of this paper. Practical part begins with chapter which covers all used hardware and technology. Next chapter describes task of separating objects. Further are included all technical aspects and problem solutions. In last chapter is a report about practical work realization in laboratory. Summary of all experiment results and paper cognition is in conclusion of the paper.
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Evaluation of targets in shooting range based on image data
Sujová, Sára ; Šťastný, Jiří (referee) ; Škrabánek, Pavel (advisor)
The thesis describes the design and implementation of a computer vision system for evaluating targets on the shooting range using image data. The program respects the restrictions based on safety measures established by the the shooting range manager and uses an uniform system of lighting and camera placement. The work consists of several parts. The first part is the creation of the dataset and its annotation. The second part is the creation of the program. The program includes a photo of the target, which is suitably edited and divided into sub-areas in the pre-processing phase. These sub-regions are then iteratively processed by the U-NET network, which produces segmentation maps that are subsequently combined into the resulting map. The positions of the detected shots are obtained from this map. In the last part of the program, a point evaluation of the shooting session is obtained.
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Non-contact measurement of the dimensions of determination scales
Šemora, Petr ; Matoušek, Radomil (referee) ; Škrabánek, Pavel (advisor)
This thesis deals with non-contact measuring the dimensions of the sand lizard anal plate. First the thesis briefly summarizes the techniques used to measure object dimensions and the techniques used for image segmentation. Subsequently, the thesis provides a basic overview of neural networks and convolutional neural networks. The practical part describes a system for measuring the dimensions of the sand lizard anal plate. The proposed algorithms are implemented in a graphical user interface enabling automatic and manual measurements.
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Synthetic data generator aimed at development of drone detectors
Zlatníčková, Marie ; Dobrovský, Ladislav (referee) ; Škrabánek, Pavel (advisor)
This diploma thesis deals with the issue of creating images of realistic-looking images from 3D models of drones. The search section of this thesis explains the basic concepts in digital image processing and the use of neural networks in the detection and recognition of objects in the image. The practical part of this work deals with the implementation of a software solution that creates tagged colored images from digital 3D drone models. These images can contain one or more drones in different flight phases, with different light, rotation or blur.
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Data-driven sensors and their applications
Pakr, Jiří ; Dobrovský, Ladislav (referee) ; Škrabánek, Pavel (advisor)
Soft sensors are a gradually expanding technique in the field of industrial measurement. These sensors are computer programs that provide additional data using previously acquired data in a similar way to conventional hardware sensors. The additional data is obtained using predictive models based on machine learning methods such as neural networks or support vector machines. This work mainly includes a research on the function, structure and creation of soft sensors. It also describes machine learning, the distribution of its algorithms and introduces the methods commonly used in the field of virtual sensors. Towards the end, the author describes possible future development of soft sensors and the direction of further applications.
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Detection of objects for industrial robots using computer vision
Huber, Michal ; Škrabánek, Pavel (referee) ; Parák, Roman (advisor)
The aim of this bachelor thesis is to create an image processing algorithm based on data captured by camera. Introduction of this thesis deals with the current situation of object detection in industrial applications and briefly presents Raspberry Pi and OpenCV library. Following chapters deal with Raspberry Pi setup, test objects design and captured pictures modifications. Last section of these chapters is devoted to a design of an image processing algorithm. The conclusion of this thesis deals with a design of vizualization interface and also describes a laboratory experiment to test the functionality of a designed algorithm.
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Impact of color models on performance of convolutional neural networks
Šimunský, Martin ; Doležel, Petr (referee) ; Škrabánek, Pavel (advisor)
Current knowledge about impact of colour models on performance of convolutional neural network is investigated in the first part of this thesis. The experiment based on obtained knowledge is conducted in the second part. Six colour models HSV, CIE 1931 XYZ, CIE 1976 L*a*b*, YIQ a YCbCr and deep convolutional neural network ResNet-101 are used. RGB colour model achieved the highest classification accuracy, whereas HSV color model has the lowest accuracy in this experiment.
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