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Detection of face parts in the thermographic spectrum
Šujan, Miroslav ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Master´s thesis deals with current problems of face detection and its parts in the infrared thermographic spectrum. Most previously published literature deals with the detection in the visible spectrum, making the thermographic detection range an interesting alternative. The work deals with the processing of image signals, images and faces in thermographic spectrum, selected methods of face detection and its parts and also deals with practical system design for detecting facial parts in this spectrum and its subsequent testing.
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Colour image histogram processing
Kučera, Ondřej ; Číka, Petr (referee) ; Říha, Kamil (advisor)
This bachelor thesis deals with processing of colour image histogram. To better undestanding of this problem it describes individual methods which edit colour image and its histogram. The thesis suggests a program implementation which allows processing of colour image and its histogram.
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Moving Persons Surveillance System
Hochman, Zdeněk ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is devoted to detect moving person in video sequence. It is dealed with detect motion primarily and it is determinated by place of motion. The thesis introduces relatively new method of detection motion Local Binary Patterns, which allow quick and exact detect of motion. Inhere of this thesis is also application for detect person. The thesis publishes tests of this application detailed and it mentiones positives and negatives of different settings application which reader can finally use at work with application.
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Application for Processing of a Photographed Text
Genčúr, Martin ; Rozman, Jaroslav (referee) ; Grulich, Lukáš (advisor)
This work introduces main approches for converting a photographed text into black and white form. It analyses particular methods being used for this task. Following part describes implementation of the application performing a conversion. The program is tested with suitable data (coloured picture, a picture with various shades etc.) and illustrates the usability of the application. The thesis also contains an introduction to optical character recognition (OCR) and suggests potential ways of development of this application.
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Visual inspection
Lancz, Michal ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This semester thesis deals with the issue of visual inspection. As a gruop of controlled objects we have have chosen needles. In this work basic knowledge on the topic of computer vision is described. In the first part, methods of image processing such as smoothing filters and edge filters are discribed. The selected programming environment is Matlab. This enviroment can easily present and compare the obtained result. Following part presents the examples of the used resultant methods on the sample picture.
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Text separation
Burlak, Vladimír ; Macho, Tomáš (referee) ; Richter, Miloslav (advisor)
This bachelor’s thesis describes basic methods of picture segmentation for the purpose of separation of text from a background. In first part are described general methods meant for picture processing. There is described verging, edge detection and interference reduction. In second part are defined categories of text in picture. Third part is focused on program which will help with picture segmentation.
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Optical Character Recognition
Bílek, Jan ; Žák, Pavel (referee) ; Zuzaňák, Jiří (advisor)
This work describes problems of optical character recognition and methods which are used to improve its results. It specializes in problems of image spam and its adjustment for its recognition. This work describes methods of processing an image which leads to better results of text recognition and also some methods used to the character recognition. There is also described a scheme and an implementation of a system which processes an image spam and detects a text within it.
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Quality assessment of retinal images
Tvarůžek, Marek ; Jiřík, Radovan (referee) ; Kolář, Radim (advisor)
This thesis deals with the properties of retinal images, which are taken with a digital fundus camera. The basic image processing operations are described and applied on biomedical images. Based on these operations, the algorithm for image quality assessment is designed and implemented in Matlab. The quality metrics quantify the focusing. The proposed methods are tested on two datasets and the results are presented and discussed.
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