Thesis Details

Metody detekce a reprezentace hran v obraze

Bachelor's Thesis Student: Beránek Jan Academic Year: 2006/2007 Supervisor: Španěl Michal, Ing., Ph.D.
English title
Edge Detection and Representation Algorithms for Object Recognition
Language
Czech
Abstract

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.

Keywords

OCR, edge detector, Freeman chain code, Hough transformation, Canny edge detector

Department
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
12 June 2007
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Jedlička Petr, Ing., Ph.D. (Mendelu), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Citation
BERÁNEK, Jan. Metody detekce a reprezentace hran v obraze. Brno, 2007. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2007-06-12. Supervised by Španěl Michal. Available from: https://www.fit.vut.cz/study/thesis/3045/
BibTeX
@bachelorsthesis{FITBT3045,
    author = "Jan Ber\'{a}nek",
    type = "Bachelor's thesis",
    title = "Metody detekce a reprezentace hran v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2007,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/3045/"
}
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