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master's thesis
Sustav pretraživanja slika korištenjem histograma pojednostavljene slike
2015. urn:nbn:hr:200:275375
Bece, Adrian
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Bece, A. (2015). Sustav pretraživanja slika korištenjem histograma pojednostavljene slike (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:275375

Bece, Adrian. "Sustav pretraživanja slika korištenjem histograma pojednostavljene slike." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:275375

Bece, Adrian. "Sustav pretraživanja slika korištenjem histograma pojednostavljene slike." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:275375

Bece, A. (2015). 'Sustav pretraživanja slika korištenjem histograma pojednostavljene slike', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 01 February 2023, https://urn.nsk.hr/urn:nbn:hr:200:275375

Bece A. Sustav pretraživanja slika korištenjem histograma pojednostavljene slike [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2023 February 01] Available at: https://urn.nsk.hr/urn:nbn:hr:200:275375

A. Bece, "Sustav pretraživanja slika korištenjem histograma pojednostavljene slike", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:275375

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Metadata
TitleSustav pretraživanja slika korištenjem histograma pojednostavljene slike
Title (english)Image retrieval system based on simplified image histograms
AuthorAdrian Bece
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (član povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberEmmanuel Karlo Nyarko (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2015-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Architecture of Computer Systems
Abstract
U ovom diplomskom radu je opisan i programski ostvaren algoritam za dohvaćanje slike iz baze podataka temeljen na usporedbi histograma slike. Opisani su, predloženi i ugrađeni algoritmi formiranja histograma i usporedbe histograma, te je prikazana struktura baze podataka i način pohrane slika u njoj. Prikazani su rezultati ispitivanja, kao i prednosti i nedostatci svake pojedine metode i konačnog algoritma. Neke od prednosti su brzina izvođenja algoritma ako se koristi paralelizam i pohrana slike u priručnoj memoriji, te robusnost algoritama na rotaciju slike, zrcaljenje, promjenu razlučivosti slike i zamućenje. Uočeni nedostatci algoritma su smanjena robusnost na promjenu vrijednosti piksela (osvjetljenje ili kontrast), zanemarivanje informacije o teksturama na slici, te postojanje nekih posebnih slučajeva pogrešnog dohvaćanja slike.
Abstract (english)
This thesis describes an image retrieval algorithm based on the comparison of the image histograms accompanied by the description of the application based on the mentioned algorithm. The algorithms forming the histogram are described and implemented. Additionally, the histogram comparison algorithms, database structure and methods of storing images into a database are provided. The thesis shows performance test results, as well as the advantages and disadvantages of every conversion method and the algorithm itself. Some of the advantages are the speed of execution when using a parallelism and cache memory on the one and robustness to image rotation, mirroring, resolution change and blurring on the other hand. In comparison, some of the disadvantages include decreased robustness to a pixel value change (brightness and contrast), ignoring information about textures and image and some specific cases of incorrect image retrieval.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:275375
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-05-09 10:51:09