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undergraduate thesis
Primjena klaster analize na segmentaciju slike
2024. urn:nbn:hr:126:138292
Šimunović, Ines
Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

Cite this document

Šimunović, I. (2024). Primjena klaster analize na segmentaciju slike (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:138292

Šimunović, Ines. "Primjena klaster analize na segmentaciju slike." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:138292

Šimunović, Ines. "Primjena klaster analize na segmentaciju slike." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2024. https://urn.nsk.hr/urn:nbn:hr:126:138292

Šimunović, I. (2024). 'Primjena klaster analize na segmentaciju slike', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 24 October 2024, https://urn.nsk.hr/urn:nbn:hr:126:138292

Šimunović I. Primjena klaster analize na segmentaciju slike [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2024 [cited 2024 October 24] Available at: https://urn.nsk.hr/urn:nbn:hr:126:138292

I. Šimunović, "Primjena klaster analize na segmentaciju slike", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:126:138292

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Metadata
TitlePrimjena klaster analize na segmentaciju slike
Title (english)Application of Cluster Analysis to Image Segmentation
AuthorInes Šimunović
MentorKristian Sabo (mentor)
GranterJosip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics
Osijek
Defense date and country2024-08-26, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovome završnom radu objašnjen je pojam klaster analize i primjena klaster analize na segmentaciju slike. Uvedeni su pojmovi nužni za shvaćanje osnovnih koncepata klasteriranja te je objašnjen k-means algoritam. Obrađeni su indeksi za određivanje primjerenog broja klastera te je na kraju prikazana segmentacija crnobijele slike i slike u boji. Potrebne funkcije za određivanje indeksa, segmentaciju i samo klasteriranje implementirane su u programskom jeziku Python.
Abstract (english)
In this bachelor thesis, the concept of cluster analysis and its application to image segmentation is explained. The terms necessary for understanding the basic concepts of clustering are introduced and the k-means algorithm is described. Indices for determining the most appropriate partition are discussed, and finally the segmentation of a black and white image and a color image is demonstrated. The necessary functions for determining the indices, for segmentation and for clustering itself are implemented in the Python programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:138292
Study programmeTitle: Bachelor of Mathematics and Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike i računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-12 09:38:52