AHiLS—an algorithm for establishing hierarchy among detected weak local reflection symmetries in raster images

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Naslov:	AHiLS—an algorithm for establishing hierarchy among detected weak local reflection symmetries in raster images
Avtorji:	ID Podgorelec, David (Avtor) ID Kolingerová, Ivana (Avtor) ID Lovenjak, Luka (Avtor) ID Žalik, Borut (Avtor)
Datoteke:	https://www.mdpi.com/2073-8994/16/4/442
Jezik:	Angleški jezik
Vrsta gradiva:	Članek v reviji
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Ključne besede:	computer science, algorithms, computational geometry, computer vision, shape features
Poslano v recenzijo:	08.03.2024
Datum sprejetja članka:	01.04.2024
Datum objave:	06.04.2024
Založnik:	MDPI
Leto izida:	2024
Št. strani:	14 str.
Številčenje:	Vol. 16, no. 4, [article no.] 442
PID:	20.500.12556/DKUM-90154
UDK:	004.9
COBISS.SI-ID:	191759107
DOI:	10.3390/sym16040442
ISSN pri članku:	2073-8994
Avtorske pravice:	© 2024 by the authors
Datum objave v DKUM:	23.08.2024
Število ogledov:	110
Število prenosov:	9
Metapodatki:
Področja:	Ostalo
:	PODGORELEC, David, KOLINGEROVÁ, Ivana, LOVENJAK, Luka in ŽALIK, Borut, 2024, AHiLS—an algorithm for establishing hierarchy among detected weak local reflection symmetries in raster images. Symmetry [na spletu]. 2024. Vol. 16, no. 4, 442. [Dostopano 6 april 2025]. DOI 10.3390/sym16040442. Pridobljeno s: https://www.mdpi.com/2073-8994/16/4/442 Kopiraj citat

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Naslov:	Symmetry
Skrajšan naslov:	Symmetry
Založnik:	Molecular Diversity Preservation International
ISSN:	2073-8994
COBISS.SI-ID:	517592345

Financer:	ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:	N2-0181
Naslov:	Posplošene simetrije in ekvivalence v geometrijskih podatkih

Financer:	ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:	P2-0041
Naslov:	Računalniški sistemi, metodologije in inteligentne storitve

Jezik:	Slovenski jezik
Opis:	A new algorithm is presented for detecting the local weak reflection symmetries in raster images. It uses contours extracted from the segmented image. A convex hull is constructed on the contours, and so-called anchor points are placed on it. The bundles of symmetry line candidates are placed in these points. Each line splits the plane into two open half-planes and arranges the contours into three sets: the first contains the contours pierced by the considered line, while the second and the third include the contours located in one or the other half-plane. The contours are then checked for the reflection symmetry. This means looking for self-symmetries in the first set, and symmetric pairs with one contour in the second set and one contour in the third set. The line which is evaluated as the best symmetry line is selected. After that, the symmetric contours are removed from sets two and three. The remaining contours are then checked again for symmetry. A multi-branch tree representing the hierarchy of the detected local symmetries is the result of the algorithm.
Ključne besede:	računalniška znanost, računalniška geometrija, računalniški vid

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