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Title:UPORABA METOD STROJNEGA UČENJA ZA DOLOČANJE DOMINANTNE BARVE NA DIGITALNI FOTOGRAFIJI
Authors:ID Šnajder, Dario (Author)
ID Zorman, Milan (Mentor) More about this mentor... New window
Files:.pdf UN_Snajder_Dario_2016.pdf (14,97 MB)
MD5: F8FDE581B6FE08EB57DF168F3202CB01
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo podrobno raziskali algoritem k-means, ki v kontekstu strojnega učenja spada v skupino algoritmov nenadzorovanega učenja. Proučili smo probleme in možnost iskanja dominantnih barv na digitalni fotografiji z uporabo omenjenega algoritma. Raziskali smo različne barvne modele in iskanje barvnih harmonij. Izdelali smo aplikacijo, ki omogoča fotografiranje (npr. oblačil), iskanje dominantnih barv in določanje različnih barvnih harmonij.
Keywords:strojno učenje, k-means, barvni model, dominantna barva, barvne harmonije
Place of publishing:[Maribor
Publisher:D. Šnajder
Year of publishing:2016
PID:20.500.12556/DKUM-61970 New window
UDC:004.85.021(043.2)
COBISS.SI-ID:19844374 New window
NUK URN:URN:SI:UM:DK:LV7I4SFF
Publication date in DKUM:06.09.2016
Views:1802
Downloads:117
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:USING MACHINE LEARNING METHODS FOR DETERMINING DOMINANT COLOR ON DIGITAL PHOTOGRAPHY
Abstract:In this thesis we carried out a detailed research of k-means algorithm, which in the context of machine learning is classified into the group of unsupervised learning algorithms. We examined the possibilities for determining dominant color in the digital photography using the k-means algorithm. We also researched various color models and how to find color harmonies. In the end, an application was implemented with which the user can take a picture (e.g. of clothing), find dominant colors and determine the color harmonies.
Keywords:machine learning, k-means, color model, dominant color, color harmonies


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