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Braille Reader
Mezírka, Martin ; Šolony, Marek (referee) ; Maršík, Lukáš (advisor)
This bachelor's thesis concern with problem transforms Braille's documents into text form. At first focus on Braille alphabet and principle of the scanners. Next is represent design of potential method of recognition Braille's documents. At the end is situated description of program's implementation with used library OpenCV and Qt framework. Conclusion discusses reliability and some program's extensions.
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Advanced Image Edge Detection
Mezírka, Martin ; Bařina, David (referee) ; Španěl, Michal (advisor)
The goal of this work is to investigate options how to apply trainable edge detection algorithm Structured forest for fast edge detection to information extraction from historici maps and medical images. For the work, annotated dataset was created and the detektor was tested on it. Structured forest achieved better results on map data, compared with classical detectors. Success rate of finding edges of bones was similar at both approaches. Aim of the work is focused on comparing different image annotation styles, experiments with dataset, including determining parameters and evaluation of the methods.
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Braille Reader
Mezírka, Martin ; Šolony, Marek (referee) ; Maršík, Lukáš (advisor)
This bachelor's thesis concern with problem transforms Braille's documents into text form. At first focus on Braille alphabet and principle of the scanners. Next is represent design of potential method of recognition Braille's documents. At the end is situated description of program's implementation with used library OpenCV and Qt framework. Conclusion discusses reliability and some program's extensions.
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Advanced Image Edge Detection
Mezírka, Martin ; Bařina, David (referee) ; Španěl, Michal (advisor)
The goal of this work is to investigate options how to apply trainable edge detection algorithm Structured forest for fast edge detection to information extraction from historici maps and medical images. For the work, annotated dataset was created and the detektor was tested on it. Structured forest achieved better results on map data, compared with classical detectors. Success rate of finding edges of bones was similar at both approaches. Aim of the work is focused on comparing different image annotation styles, experiments with dataset, including determining parameters and evaluation of the methods.
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