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Similarity Measure of Points of Interest in Image
Křehlík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.
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Edge Detection and Representation Algorithms for Object Recognition
Beránek, Jan ; Herout, Adam (referee) ; Španěl, Michal (advisor)
Main topic of this work are edge detection and representation algorithms used in an digital image. Some of typically used algorithms and methods are shown and described. Next aim of this work is design and description of implementation of a simple OCR system based on edge detection with use of an artificial neural net for a machine printed character recognition. The system was written in C programming language and uses OpenCV graphic library and FANN library for creating a neural net. Application was created and tested under Windows XP operating system.
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Wavelet transform based object detector
Mikuš, Ondřej ; Průša, Zdeněk (referee) ; Rajmic, Pavel (advisor)
This thesis deals with applying methods on object detection in image. Separation of objects off the background is often needed during the image processing. It isolates the region of interest that can be worked with. The main purpose of this paper is the explanation of principles of pre-processing and segmentation of image, resulting in object detection using the wavelet transformation. This wavelet transformation is described more in detail, because it is the base of the primary used method. In the practical part of this thesis the main method was implemented to MATLAB environment and tested on set of images. The method was tested for robustness against noise and blur of image. It was compared with commonly used methods, using the edge detectors and thresholding. A simulation program was created for comparison of methods efficiency, including user interface.
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Line Detection with Different Size
Váňa, Lukáš ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
This Bachelor Theses deals with question of the location of the set thicknesses of lines in the picture. It summarizes theoretical basis and procedures for the elaboration of the incoming signal and the Theory of the edge detection. It mentioned current known methods for lines detection in the picture. By the assist of these methods, extended of another known procedures, this theses suggested algorithm, able to detect line of the set thickness in the picture. It describes also suggestion of the realization of the application, which demonstrates utility of the created algorithm. The application is the programming part of this Theses.
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Face recognition
Škrobák, Dalibor ; Číka, Petr (referee) ; Kyselý, František (advisor)
This thesis is focused on face detection in static picture. Theoretical part contains color spaces (RGB, HSI, YCbCr), methods for skin detection (explicit, parametric or non-parametric methods), image metric, edge detection, mathematical morphology, methods for classification faces (appearance-based methods, feature invariant approaches, knowledge-based methods, template matching methods). Practical part of this thesis contains concept and practical realization two algorithms for segmentation skin in static image (simple method based on Cr chroma components and statistical method). Practical part contains concept and practical realization two algorithms for classification face (appearance-based method and template matching method) too.
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Detection of Papillary Line Width by Fingerprints
Homola, Antonín ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.
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Edge Detection and Representation Algorithms for Object Recognition
Beránek, Jan ; Herout, Adam (referee) ; Španěl, Michal (advisor)
Main topic of this work are edge detection and representation algorithms used in an digital image. Some of typically used algorithms and methods are shown and described. Next aim of this work is design and description of implementation of a simple OCR system based on edge detection with use of an artificial neural net for a machine printed character recognition. The system was written in C programming language and uses OpenCV graphic library and FANN library for creating a neural net. Application was created and tested under Windows XP operating system.
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Line Detection with Different Size
Váňa, Lukáš ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
This Bachelor Theses deals with question of the location of the set thicknesses of lines in the picture. It summarizes theoretical basis and procedures for the elaboration of the incoming signal and the Theory of the edge detection. It mentioned current known methods for lines detection in the picture. By the assist of these methods, extended of another known procedures, this theses suggested algorithm, able to detect line of the set thickness in the picture. It describes also suggestion of the realization of the application, which demonstrates utility of the created algorithm. The application is the programming part of this Theses.
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Detection of Papillary Line Width by Fingerprints
Homola, Antonín ; Drahanský, Martin (referee) ; Lodrová, Dana (advisor)
This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.
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Similarity Measure of Points of Interest in Image
Křehlík, Jan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This document deals with experimental verifying to use machine learning algorithms AdaBoost or WaldBoost to make classifier, that is able to find point in the second picture that matches original point in the first picture. This work also depicts finding points of interest in image as a first step of finding correspondence. Next there are described some descriptors of points of interest. Corresponding points could be useful for 3D modeling of shooted scene.
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