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master's thesis
Računalno očitavanje višesegmentnih displeja
2015. urn:nbn:hr:168:174748
Šimićev, Dino
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Šimićev, D. (2015). Računalno očitavanje višesegmentnih displeja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:174748

Šimićev, Dino. "Računalno očitavanje višesegmentnih displeja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:174748

Šimićev, Dino. "Računalno očitavanje višesegmentnih displeja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:174748

Šimićev, D. (2015). 'Računalno očitavanje višesegmentnih displeja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:174748

Šimićev D. Računalno očitavanje višesegmentnih displeja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 April 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:174748

D. Šimićev, "Računalno očitavanje višesegmentnih displeja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:174748

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Metadata
TitleRačunalno očitavanje višesegmentnih displeja
Title (english)Computer-based reading of multi segment displays
AuthorDino Šimićev
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
Committee memberTomislav Pribanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu dan je originalan pristup detekcije znamenaka sa sedam-segmentnih displeja različitih uređaja. Pri tome su korištene sljedeće metode: Canny detekcija ruba, Houghova linearna transformacija, perspektivna projekcija te SURF ekstrakcija značajki sa slike. Algoritam je implementiran u programskom paketu MATLAB te je korištena biblioteka „Computer Vision“. Prikazani su svi rezultati i problemi ovakve obrade slike.
Abstract (english)
This paper presents an unique approach into the field of reading the seven-segment display on devices. To do so the following methods are used: Canny edge detection, Hough transform, SURF feature extraction, perspective transformation. The algorithm is implemented in MATLAB program and it also uses the Computer Vision library. At the end of the paper all the results and problems of this work are shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:174748
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 12:17:41