| Naslov: | Region segmentation of images based on a raster-scan paradigm |
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| Avtorji: | ID Lukač, Luka (Avtor)
ID Nerat, Andrej (Avtor)
ID Strnad, Damjan (Avtor)
ID Horvat, Štefan (Avtor)
ID Žalik, Borut (Avtor) |
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| Datoteke: |  jsan-13-00080.pdf (16,31 MB)
MD5: 50E4FD817D83394A9C0CB2332B4F825E
 https://www.mdpi.com/2224-2708/13/6/80
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Članek v reviji |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
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| Opis: | This paper introduces a new method for the region segmentation of images. The approach is based on the raster-scan paradigm and builds the segments incrementally. The pixels are processed in the raster-scan order, while the construction of the segments is based on a distance metric in regard to the already segmented pixels in the neighbourhood. The segmentation procedure operates in linear time according to the total number of pixels. The proposed method, named the RSM (raster-scan segmentation method), was tested on selected images from the popular benchmark datasets MS COCO and DIV2K. The experimental results indicate that our method successfully extracts regions with similar pixel values. Furthermore, a comparison with two of the well-known segmentation methods—Watershed and DBSCAN—demonstrates that the proposed approach is superior in regard to efficiency while yielding visually similar results. |
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| Ključne besede: | segment, image analysis, distance metric, Watershed, DBSCAN |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 07.10.2024 |
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| Datum sprejetja članka: | 25.11.2024 |
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| Datum objave: | 29.11.2024 |
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| Založnik: | MDPI |
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| Leto izida: | 2024 |
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| Št. strani: | 18 str. |
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| Številčenje: | Vol. 13, no. 6 |
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| PID: | 20.500.12556/DKUM-91266  |
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| UDK: | 004.9 |
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| COBISS.SI-ID: | 217823491 |
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| DOI: | 10.3390/ jsan13060080 |
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| ISSN pri članku: | 2224-2708 |
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| Avtorske pravice: | © 2024 by the authors |
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| Datum objave v DKUM: | 05.12.2024 |
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| Število ogledov: | 163 |
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| Število prenosov: | 12 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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