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Reliable visual systems
Honec, Peter ; Janáková, Ilona (advisor)
The Doctoral thesis demonstrates the design of reliable industrial visual systems. The special emphasis is dedicated to the detection of defects on webs in industrial applications based on line-scan cameras. This system makes possible detection and classification of defects originating during the real production conditions. This work covers a theoretical study of a visual system for the defect detection on endless bands as well as of appropriate lighting and the scene arrangement. Further to that have been selected, adjusted and designed key components of hardware. Following the design and optimization of algorithms a system prototype had been installed on non-woven textiles production line. Eight visual systems implemented into real-life industrial conditions based on this prototype
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2D localization by CCD camera
Kubr, Jiří ; Honec, Peter (referee) ; Janáková, Ilona (advisor)
This thesis is focused on comparison of properties of different methods for finding reciprocal displacement of images. Two algorithms were tested: The image correlation method and The feature point correspondence matching method. Series of images were tested to get properties of tested methods. The results give us information about changes in method properties (computation time and succes in finding of reciprocal displacement) depending on set parameters (the number of feature points). It was determined which method for edge detection better fits one of the tested method.
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Web defects classification
Janošík, Zdeněk ; Petyovský, Petr (referee) ; Honec, Peter (advisor)
In this master thesis is described how to design and implement classifier of defects detected during the final stage of production nonwovens. The beginning of the thesis is devoted to the analysis of options for image processing and classification. Followed by the part, where is described process of image segmentation and extraction of feature vector. Description of classifier implementation and table of achieved results of classification on real images of detected defects.
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Traffic signs detection and recognition
Dvořák, Michal ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
The goal of this thesis is the utilization of computer vision methods, in a way that will lead to detection and identification of traffic signs in an image. The final application is to analyze video feed from a video camcorder placed in a vehicle. With focus placed on effective utilization of computer resources in order to achieve real time identification of signs in a video stream.
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Image processing using Android device - electricity meter value recognition
Sliž, Jiří ; Klečka, Jan (referee) ; Honec, Peter (advisor)
The aim of the work is to design an application for mobile devices with the Android operating system. This application allows image capturing with a camera and image processing with the support of the OpenCV library. The purpose of this application is automatic value recognition of the analog electrometer. The text contains a description of the analog electrometers. The following is characteristic of Android operating system, and this part is directly connected to a draft of the application itself. Next part contains the image processing algorithms, testing and implementation into Android application.
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Image processing using Android - LPR with external database
Molčány, Peter ; Horák, Karel (referee) ; Honec, Peter (advisor)
The aim of this Master's thesis is designing and developing Android application for automatic number plate recognition with external database lookup. In the introduction we discuss possibilities of number plate recognition in general. Android platform fundamentals, necessary developer tools and multi-platform image processing library OpenCV are described in the second section. In the third section different database types and synchronization methods are introduced. In the fourth section we describe basics of image processing and different algorithms necessary for recognition. Application requirements, involving scene and hardware requirements are defined in the fifth section. In the sixth section application development and algorithm implementation is described. In the seventh section we evalute the results of the detection. In the last section results are summarized and goals are set for further improvement.
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Traffic monitoring using Raspberry PI
Zacpal, Michal ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This thesis describes the design and subsequent implementation of a unit for traffic monitoring using Raspberry PI. First section provides a quick overview of assistance systems, which use a road lane detection techniques. Next there is a description of two diferent methods for road lane detection. Follow the description of monitoring scene. Then the work describe the practical part including the design and realization of supporting electronics, selecting of each components, including the modifying of cameras, mechanical design and creating of unit. Another section is about selection and installation of appropriate software components necessary for running of the unit and the selection of development tools for creating user application. After description of graphical user interafce, there is a description of road lanes detection algorithm. At the end of the thesis is summarized a reliability of unit in real traffic situation. At the appendix there are technical drawings, describing the unit.
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Image processing using Android device - gas-meter value recognition
Wertheim, Michal ; Richter, Miloslav (referee) ; Honec, Peter (advisor)
This thesis describes the design of the image processing for Android system, consisting of the choice of the development environment and its implementation. Workflow solution to the problem involves development of the Androidapplication and it’s graphical user interface. The text includes description of the application functionality, communicationwith a camera, storing and retrieving data. It also describes used algorithms and image processing methods used for detecting values from the counter of the gas meter.
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Visual inspection of transparent products
Matus, Gabriel ; Horák, Karel (referee) ; Honec, Peter (advisor)
This project deals with the optical control of welding glass blank. The blank consists two small parts of made of special glass. This blank is an essential part of the measuring device density of oxygen. Measuring device algorithm is based on paramagnetic properties of oxygen. It is a small and precise piece of the whole mechanism therefore the precision and perfection made strict criteria. For checking compliance with those criteria, developed a computer program written in C# programming language. Its task is to rule on perfection produced parts. It also serves to back up data on individual production units.
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