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Image-Based Licence Plate Recognition
Vacek, Michal ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
In first part thesis contains known methods of license plate detection. Preprocessing-based methods, AdaBoost-based methods and extremal region detection methods are described.Finally, there is a described and implemented own access using local detectors to creating visual vocabulary, which is used to plate recognition. All measurements are summarized on the end.
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Path monitoring
Sedlařík, Jan ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
This bachelor's thesis deals with path monitoring theme. To successful accomplishment of this task it is right to have the high-quality videos. It is imperative to concentrate to their correct scanning and preprocessing. Detection of objects and their monitoring are one of the most elementary parts of the challenge. Important part of image separation is edge detection.
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Neural Network Based Edge Detection
Křepský, Jan ; Grézl, František (referee) ; Švub, Miroslav (advisor)
Utilization of artificial neural networks in digital image processing is nothing new. The aim of this work is to design and implement neural network based edge detector and learn how effective this approach is for edge detection in images and to compare these results with common detectors. In theoretical part of my work I describe some methods of image pre-processing, common approach to edge detection and their thinning and I try to introduce basics for understanding artificial neural networks theory.
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Hardware Acceleration of Image Filtering
Fiala, Martin ; Martínek, Tomáš (referee) ; Kořenek, Jan (advisor)
This master's thesis contains introduction to image filtration problems, especially to theoretical outlets, whose origin lies in linear systems theory and mathematical function analysis. There are described some approaches and methods which are used to image smoothing and for edge detection in an image. Mainly Sobel operator, Laplace operator and median filter are covered. The main contents of this project is discussion of some approaches of hardware acceleration of image filtering and design of time effective software and hardware implementations of filters in a form of program functions and combinational circuits using theoretical knowledges about time complexity of algorithms. Hardware and software implementation of named filters was done too. For every filter, time of filtration was measured and results were compared and analyzed.
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Detection of Little Changes
Čírtek, Jiří ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This diploma thesis inspects problems with specification location of edges with higher accuracy then one pixel (subpixel accuracy). In terms of this assignment has been created program, which generates three different shapes of objects. With change of parameters in program is measuring location of gravitational center on objects with subpixel accuracy. Obtained data of gravitational center deviations are depictured in graphs.
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Numerical Methods of Image Analysis for Optimal Lens Focusing
Mikuláček, Pavel ; Loučka, Pavel (referee) ; Štarha, Pavel (advisor)
The bachelor thesis deals with determining the optimal focus of the lens. It includes part of the mathematical theory associated with this problem. It explains the mathematical procedure that can be used to decide on the optimal focus of the lens. The result of the work is a single-purpose application that processes images of the Sun and can determine the optimal position of the focusing ring.
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Detection of eyes in facial images by means of Hough transform
Janovič, Tomáš ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The thesis discusses the detection of eyes in facial images by means of Hough transform. It is dedicated in the necessary preprocessing of the image, especially in edge detection. Further it discusses the Hough transform itself and describes the method for detection of simple shapes such as lines and circles. Subsequently, the thesis illustrates the implementation of Hough transform for detecting circles along with an algorithm evaluating Hough space. The last part contains the results and an assessment of detection algorithm along with a discussion of utilization the Hough transform for detection of eyes in facial images.
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Study of cardiomyocytes viability using confocal microscopy
Chutný, Pavel ; Svoboda, Ondřej (referee) ; Čmiel, Vratislav (advisor)
This work describes the study of cardiomyocytes viability using confocal microscopy. The theoretic introduction covers the basic principle of fluorescence together with fluoresceins in cells biology. The struction of cardiomyocytes, their selection from the lively heart and the methods of viability examination is comprised in the next part. The third topic is about confocal mikroskopy and its posibilities in cardiomyocytes imaging. In next chapters are described the experiments and their evaluating.
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Web Interface for Image Processing
Beran, Milan ; Mlích, Jozef (referee) ; Beran, Vítězslav (advisor)
This paper concerns design and implementation of a system which provides easier control of digital image processing console applications. The work is based on threes information technology domains: distributed systems, image processing and web technologies. The system consist of number of separated components communicating with each other in order of processing desired tasks. Control interface and the task daemon are implemented in PHP language. Image processing programs are implemented in C language using OpenCV graphic library. Control of the system is carried out through web graphical interface using dynamic control components implemented in Javascript language, jQuery library and jQueryUI interface. Part of the work is also a description of employment of the system in practical use in two environments, experiments concerning system performance and web interface user acceptance testing.
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Curve Detection in Images
Labaj, Tomáš ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This thesis deals with curve detection in images. First, current methods used in this area of image processing are summarized and described. Main topic of this thesis is a comparison of methods of parametric curve detection, such as Hough transformation and RANSAC-based methods. These methods are compared according to several criteria which are the most important for precise edge detection.
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