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master's thesis
Reverzno inženjerstvo dijagrama pomoću računalnog vida
Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2022. urn:nbn:hr:211:451101
Šikač, Patrik Noah
University of Zagreb
Faculty of Organization and Informatics
Department of Theoretical and Applied Foundations of Information Sciences

Institutional repository: Faculty of Organization and Informatics - Digital Repository

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Šikač, P. N. (2022). Reverzno inženjerstvo dijagrama pomoću računalnog vida (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:451101

Šikač, Patrik Noah. "Reverzno inženjerstvo dijagrama pomoću računalnog vida." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:451101

Šikač, Patrik Noah. "Reverzno inženjerstvo dijagrama pomoću računalnog vida." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:451101

Šikač, P. N. (2022). 'Reverzno inženjerstvo dijagrama pomoću računalnog vida', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 28 June 2024, https://urn.nsk.hr/urn:nbn:hr:211:451101

Šikač PN. Reverzno inženjerstvo dijagrama pomoću računalnog vida [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2022 [cited 2024 June 28] Available at: https://urn.nsk.hr/urn:nbn:hr:211:451101

P. N. Šikač, "Reverzno inženjerstvo dijagrama pomoću računalnog vida", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:211:451101

Metadata
TitleReverzno inženjerstvo dijagrama pomoću računalnog vida
Title (english)Diagram Reverse Engineering Using Computer Vision
AuthorPatrik Noah Šikač
MentorBogdan Okreša Đurić (mentor)
MBZ: 367114
Committee memberMarkus Schatten (član povjerenstva)
MBZ: 291806
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Theoretical and Applied Foundations of Information Sciences)
Varaždin
Defense date and country2022-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
This thesis describes the use of computer vision to recognize shapes and text from images depicting diagrams. The theoretical part of the thesis introduces basic concepts that serve as a foundation to the implementation of the practical part of the thesis. The practical part of the thesis consists of developing a Web application, which comprises a Web client and server. The client is a diagram editor capable of sending an image to the server to be interpreted. Images sent to the server are analyzed with OpenCV, a computer vision library, and a convolutional neural network model.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:451101
Study programmeTitle: Information and Programming Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) icon
Created on2022-10-03 04:27:05