Ugotavljanje podobnosti rastrskih slik z vgnezdenimi 3D izbočenimi lupinami

diplomsko delo

Žiga Pečar (Author), Borut Žalik (Mentor), Aljaž Jeromel (Co-mentor)

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

algoritmi;računalniška geometrija;hitra izbočena lupina;zaznava robov;sivinske slike;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2022
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[Ž. Pečar]
UDC:	004.932.2(043.2)
COBISS:	130376707
Views:	39
Downloads:	13
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Determining the similarity of raster images with 3D nested convex hulls
Secondary 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.
Secondary keywords:	algorithm;computational geometry;Quick hull;Edge detection;grayscale images;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	1 spletni vir (1 datoteka PDF (22 f.))
ID:	16257055