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undergraduate thesis
Pretvaranje fotografije u bojanku
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:899041
Barišić, Renata
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Barišić, R. (2022). Pretvaranje fotografije u bojanku (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:899041

Barišić, Renata. "Pretvaranje fotografije u bojanku." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:899041

Barišić, Renata. "Pretvaranje fotografije u bojanku." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:899041

Barišić, R. (2022). 'Pretvaranje fotografije u bojanku', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:899041

Barišić R. Pretvaranje fotografije u bojanku [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:200:899041

R. Barišić, "Pretvaranje fotografije u bojanku", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:899041

Metadata
TitlePretvaranje fotografije u bojanku
Title (english)Converting photos into a coloring book
AuthorRenata Barišić
MentorČaslav Livada (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2022-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Cilj ovog završnog rada bio je uz OpenCV biblioteku napisati program u programskom jeziku Python koji predanu fotografiju pretvara u bojanku koristeći tehnologiju detekcije rubova. Za rješenje navedenog problema korišten je ugrađeni algoritam Canny Edge Detection te razne pomoćne Python i OpenCV funkcije za poboljšanje rada navedenog algoritma. Uz pomoć tih funkcija bilo je potrebno naglasiti, odnosno povećati detektirane rubove fotografije, te maknuti boje iz nje i invertirati ih kako bi nastala crno-bijela bojanka. Pomoćne funkcije su također omogućile dodavanje trackbara u program kako bi se omogućio dinamičan način unosa podataka, odnosno kako bi se izbjeglo uređivanje vrijednosti varijabli u izvornom kodu i ponavljano pokretanje programa, te unos podataka s tipkovnice. Rad algoritma uspoređen je s jednostavnijim, Sobel Edge Detection algoritmom, te je uspoređen i na različitim vrstama fotografija. Uspješnost algoritma ovisila je o vrsti fotografije koja mu je predana, iz čega se da zaključiti da ova tehnologija ima još prostora za napredak.
Abstract (english)
The goal of this paper was to write a program in the Python programming language using the OpenCV library, which turns a submitted photograph into a coloring book using edge detection technology. To solve this problem, the built-in Canny Edge Detection algorithm was used, as well as various auxiliary Python and OpenCV functions to improve the performance of this algorithm. With the help of these functions, the detected edges of the photograph had to be emphasized, i.e., increased, and the colors from it had to be removed and inverted to create a black and white coloring book. Auxiliary functions also allowed the addition of a trackbar to the program to enable entering data in a dynamic way, i.e., to avoid editing the values of variables in the source code and re-running the program and entering data from the keyboard. The performance of the algorithm was compared with the simpler, Sobel Edge Detection algorithm, and was also compared on different types of photographs. The success of the algorithm depended on the type of photograph submitted to it, from which it can be concluded that this technology still has room for improvement.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:899041
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2022-12-12 11:28:38