|
|
Detection of security aids in image signal
Burdík, Vojtěch ; Šmirg, Ondřej (referee) ; Přinosil, Jiří (advisor)
This work is devoted to the relatively new field of computer – computer vision. It focuses on the recognition of people, positioning and colour detection of clothing placed on person. The aim is to build an algorithm that would be able to locate the person in the picture and would make colours tests of clothing and helmets. For image processing were used OpenCV library functions and from algorithms was compiled program solving this problem. The output of the program is the answer, what colour is person at stated locations wearing, and if clothing and helmet are the same colour, the person is evaluated as properly dressed. The resulting program is then disassembled and parts of the code are in detail described in this work. There is explained how to use correctly each OpenCV function used in program.
|
|
|
Gestural Interface for Computer Control
Burdík, Vojtěch ; Beneš, Radek (referee) ; Přinosil, Jiří (advisor)
This work focuses on the relatively new computer branch – a computer vision. Work is concentrated on object recognition, localization and reaction to specific movements. The aim is to build a program that will be able to use hand movements to control computer, to the gesture as defined by the fingers and palms respond and make it the event. The objective should be achieved without the use of special sensors or more cameras, but only with one common webcam. For the image processing function from OpenCV library were used and program was built. Evaluation of function is based on functional verification in practice, evaluation of speed, accuracy and quality of object recognition. Following the scheme, how could program for gestural controlling the computer should look, was created, and then his realization in a simple program was made. This program is able to recognize the object in an image, in this case a hand, and through an evaluation of its movements control cursor on a computer with a possibility of simulation pressing the left mouse button. Program continuously allows the documents to scroll horizontal and vertical direction. The program is very robust and work with him is very simple.
|
|
|
Automatic Photography Categorization
Veľas, Martin ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to create an application, which is would be able to achieve sufficient precision and computation speed of categorization. Basic solution involves detection of interesting points, extraction of feature vectors, creation of visual codebook by clustering, using k-means algorithm and representing visual codebook by k-dimensional tree. Photography is represented by bag of words - histogram of presence of visual words in a particular photo. Support vector machines (SVM) was used in role of classifier. Afterwards the basic solution is enhanced by dividing picture into cells, which are processed separately, computing color correlograms for advanced image description, extraction of feature vectors in opponent color space and soft assignment of visual words to extracted feature vectors. The end of this thesis concerns to experiments of of above mentioned techniques and evaluation of the results of image categorization on their usage.
|
|
|
OpenCV library extension
Prymus, Jiří ; Babinec, Tomáš (referee) ; Petyovský, Petr (advisor)
The thesis deals with OpenCV library and its implementation into scripting languages Lua and Matlab. The first part of the thesis concentrates on description of the OpenCV library and its usage in the course Computer vision. The second chapter examines the programming language Lua and shows its potential in certain tasks. The description of the implementation of binding the OpenCV library to Lua language along with its overall functionality is included in the third chapter of the thesis. The last chapter deals with possibilities of binding CVlib Mex in Matlab environment. A part of the thesis concentrates on implementation of great number of OpenCV functions into Lua language and mechanisms of cross-platform compilation of the project as a whole.
|
|
|
Reconstruction of Fragmented Objects
Bačíková, Petra ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
Thesis deals with reconstruction of fragmented objects. It contains a sentenious view of already realized projects with reconstruction subject. In the folowing section, the thesis describes essential methods of image processing, work with contours and corelation. There are proposed algorithms of image processing, corners detection and edges matching.
|
|
|
Application for Recognition of Hematoma on Skin
Mihalčin, Tomáš ; Košík, Michal (referee) ; Drahanský, Martin (advisor)
This bachelor thesis contains a theoretical basic that introduces problem of skin hematoma formation, image segmentation using the OpenCV library and platform operating system Android. This thesis describes the design and implementation of application for recognition of hematoma on the skin. The application is developed for tablets running operation system Android and it will be used for medical purposes and to facilitate the work of medical.
|
|
|
Automatic Photography Categorization
Veľas, Martin ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to experiment with advanced techniques of image represenatation and to create a classifier which is able to process large image dataset with sufficient accuracy and computation speed. A traditional solution based on using visual codebooks is enhanced by computing color features, soft assignment of visual words to extracted feature vectors, usage of image segmentation in process of visual codebook creation and dividing picture into cells. These cells are processed separately. Linear SVM classifier with explicit data embeding is used for its efficiency. Finally, results of experiments with above mentioned techniques of the image categorization are discussed.
|
|
|
2D barcode recognition system
Sedlář, Martin ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This bachelor’s thesis deals with 2D barcode reading. At the beginning a brief overview of the most used barcodes is shown. The work mainly deals with QR codes. Their structure, composition and rules for encoding and decoding are explained. Problems with arrangement of photographic scene are solved too. C++ algorithm for QR code reading is described with usage of the OpenCV library.
|
|
|
Application for Recognition of Hematoma on Skin
Mihalčin, Tomáš ; Košík, Michal (referee) ; Drahanský, Martin (advisor)
This bachelor thesis contains a theoretical basic that introduces problem of skin hematoma formation, image segmentation using the OpenCV library and platform operating system Android. This thesis describes the design and implementation of application for recognition of hematoma on the skin. The application is developed for tablets running operation system Android and it will be used for medical purposes and to facilitate the work of medical.
|
|
|
Automatic Photography Categorization
Veľas, Martin ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to create an application, which is would be able to achieve sufficient precision and computation speed of categorization. Basic solution involves detection of interesting points, extraction of feature vectors, creation of visual codebook by clustering, using k-means algorithm and representing visual codebook by k-dimensional tree. Photography is represented by bag of words - histogram of presence of visual words in a particular photo. Support vector machines (SVM) was used in role of classifier. Afterwards the basic solution is enhanced by dividing picture into cells, which are processed separately, computing color correlograms for advanced image description, extraction of feature vectors in opponent color space and soft assignment of visual words to extracted feature vectors. The end of this thesis concerns to experiments of of above mentioned techniques and evaluation of the results of image categorization on their usage.
|
guest ::
