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Communication and control card for electron microscope
Robotka, Jan ; Petyovský, Petr (referee) ; Macho, Tomáš (advisor)
The main aim of this thesis is to design a communication and control card for an electron microscope, eventually for other equipments of the company Delong Instruments a.s., which is dealing with its development and production. This card should replace existing communication card because of its low computational performance. Also, it should replace control and measure card manned with A/D and D/A converters. Thus, the new card will be providing not only the communication with a superior PC and other electronic systems, but also the control of other subsystems of the electron microscope, the determining of processional states and the measuring of internal physical quantities. At the beginning the requirements were determined and the main concept was made with the inclusion of the simple block diagram. It was very important to choose a suitable microcontroller, which will be an intelligence of the whole card and so it will be the most important component. The accent was set mainly on the sufficient computational performance, high modularity of its periphery, good vision of the future innovation and support and, of course, the price. The next requirement was the implementation of the Ethernet, which will be used for the communication between the card and the superior PC. The microcontroller which was chosen have the core architecture ARM Cortex-M3 and it is described in separate chapter. The next part of this thesis is dealing with the main communication standard of the card, which is the Ethernet. After the general description, the Ethernet was mainly discussed in context of the chosen microcontroller. The possibilities of the application of higher layer TCP/IP protocols were also discussed. Implied part of the thesis was the selection of other important components, especially A/D and D/A converters. Its characteristics will have a big effect on the characteristics of the card. In the last and the most important phase the electrical scheme was designed and it was described in detail. This scheme is the main result of this thesis and it is the main document for the future realization. Designed card will be able to process and control 16 differential analogue input signals, 16 differential analogue output signals, 8 digital inputs, 8 simple digital outputs and 4 digital outputs triggered by optocouplers. It will be able to communicate with the superior PC over the Ethernet with the maximum bit rate of 100 Mbit/s, with other electronic cards over the serial line UART through the optical fibers and with other internal and external equipments over the RS-485 and RS-232.
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Measuring of Vehicle Instant Velocity
Štencel, Jakub ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The theoretical part of this paper summarizes the methods for motion analysis in an image. Inspected in detail are the methods used for motion detection in the image sequences. The practical part is focused on finding the significant points in the image (the targeting reticles on the body of the vehicle) which are then used to calculate the speed of the vehicle.
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Scanning capillary column by color scanner and zones recognition
Wojnar, Petr ; Petyovský, Petr (referee) ; Štohl, Radek (advisor)
The master’s thesis focuses on creating an application for scanner control through WIA interface. This aplication is used for reading capillary during electrical separation methods in analytic chemistry. Scanned pictures of capillary are possible to process using online application for detection of significant zones within experiment. Offline detection of a set of scanned pictures is also possible. These applications have been created in LabVIEW environment made by National Instruments.
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Methods for enhancing quality of digital images
Svoboda, Radovan ; Janáková, Ilona (referee) ; Petyovský, Petr (advisor)
With arrival of affordable digital technology we are increasingly coming into contact with digital images. Cameras are no longer dedicated devices, but part of almost every mobile phone, PDA and laptop. This paper discusses methods for enhancing quality of digital images with focus on removing noise, creating high dynamic range (HDR) images and extending depth of field (DOF). It contains familiarization with technical means for acquiring digital image, explains origin of image noise. Further attention is drawn to HDR, from explaining the term, physical basis, difference between HDR sensing and HDR displaying, to survey and historical development of methods dealing with creating HDR images. The next part is explaining DOF when displaying, physical basis of this phenomenon and review of methods used for DOF extension. The paper mentions problem of acquiring images needed for solving given tasks and designs method for acquiring images. Using it a database of test images for each task was created. Part of the paper also deals with design of a program, that implements discussed methods, for solving the given tasks. With help of proposed class imgmap, quality of output images is improved, by modifying maps of input images. The paper describes methods, improvements, means of setting parameters and their effects on algorithms and control of program using proposed GUI. Finally, comparison with free software for extending DOF takes place. The proposed software provides at least comparable results, the correct setting of parameters for specific cases allows to achieve better properties of the resulting image. Time requirements of image processing are worse because designed software was not optimised.
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Objects Classification in Images
Gabriel, Petr ; Petyovský, Petr (referee) ; Janáková, Ilona (advisor)
This master's thesis deal with problems of classification objects on the basis of atributes get from images. This thesis pertain to a branch of computer vision. Describe possible instruments of classification (e.g. neural networks, decision tree, etc.). Essential part is description objects by means of atributes. They are imputs to classifier. Practical part of this thesis deal with classification of object collection, which can be usually found at home (e.g. scissors, compact disc, sticky, etc.). Analyzed image is preprocessed , segmented by thresholding in HSV color map. Then defects caused by a segmentation are reconstructed by morfological operations. After are determined atribute values, which are imputs to classifier. Classifier has form of decision tree.
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object matching
Mišta, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
Detection of objects based on color is not commonly used method of computer vision. There are many methods thats deals with the detection of significant points, but the color information has been omitted. The goal of this thesis is to design method of the detection significant color image areas and these areas match up with areas detected in another image. I analyzed features of detectors required to identify the reciprocal correspondence of images, defined the color significance concept, described basic color models and their properties, and a design of statistically compiled data - based method was described. Algorithms for the detection of color use color models RGB and HSV. Correspondence of areas detected in different images is performedy Kohonen neural network. The first input vector can teach Kohonen neural network and the second vector is classified by this network. To remove erroneous classifications RANSAC method is used. As a result, the method can be used for basic and rapid determination of correspondence between images, or to speed up commonly used methods for detection of significant points. At the end of the thesis are presented programs, showing functionality and options of design methods. The designed algorithms have been developed in MATLAB.
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Linux port for DaVinci DSP family
Šujak, Marek ; Petyovský, Petr (referee) ; Valach, Soběslav (advisor)
The main subject of this thesis is implementation of operating system based on Linux kernel. The thesis demonstrates ARM architecture and the programming model of this architecture very briefly. Then it explains initialization process of most significant peripherals including serial interfaces and memory controllers and describes booting process form NAND, NOR memory and UART interface. At the end it shows compiling procedures necessary for building u-boot and kernel.
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Image object detection
Pluskal, Richard ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with design of a program for entering various types of geometric objects in an image for the purpose of their further processing. The program should also contain algorithms to ease object entering (e.g. refining manually entered object position). In the first part there is a brief description of the computer vision and its basic methods used in the work as well as introduction of the OpenCV image processing library. The following part describes three types of geometric primitives that are implemented for now. Because the output of the program is in universal XML format, there is short chapter about the XML. After that, there are summarized some methods for searching of parametric description of geometric primitives in an image. The final chapter describes the proposed system and evaluates possibility and suitability of its usage for various types of images.
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