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Title:Ugotavljanje podobnosti rastrskih slik z vgnezdenimi 3D izbočenimi lupinami : diplomsko delo
Authors:ID Pečar, Žiga (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Jeromel, Aljaž (Comentor)
Files:.pdf UN_Pecar_Ziga_2022.pdf (1,71 MB)
MD5: 58186C76B78F8FC8AD58AE8C56090589
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo izdelali metodo, ki s pomočjo 3D vgnezdenih izbočenih lupin ugotavlja podobnost med slikami. Najprej smo podali opis štirih že znanih metod za ugotavljanje podobnosti slik. Implementirana metoda prejme sivinsko rastrsko sliko, ki jo redči s Sobelovo zaznavo robov in nato sestavi 3D vgnezdene izbočene lupine te slike. Na podlagi teh izračuna cenilko, katere vrednost uporabimo za ugotavljanje podobnosti slik. Metodo smo testirali nad štirimi slikami in ovrednotili ustreznost rezultatov.
Keywords:algoritem, računalniška geometrija, hitra izbočena lupina, zaznava robov, sivinske slike
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[Ž. Pečar]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (22 f.))
PID:20.500.12556/DKUM-82517 New window
UDC:004.932.2(043.2)
COBISS.SI-ID:130376707 New window
Publication date in DKUM:20.10.2022
Views:696
Downloads:69
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:24.08.2022

Secondary language

Language:English
Title:Determining the similarity of raster images with 3D nested convex hulls
Abstract:In the thesis, a method that determines the similarity between images with the help of nested 3D convex hulls was developed. Four already known methods for determining the similarity of images were described. The implemented method receives a grayscale raster image, thins it with the Sobel edge detection, and then constructs 3D nested convex hulls on the obtained points. Based on these hulls, the method calculates an estimation function, the value of which is used to determine the similarity of the images. The method was tested on four images and the relevance of the results was discussed at the end.
Keywords:algorithm, computational geometry, Quick hull, Edge detection, grayscale images


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