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Title:Region segmentation of images based on a raster-scan paradigm
Authors:ID Lukač, Luka (Author)
ID Nerat, Andrej (Author)
ID Strnad, Damjan (Author)
ID Horvat, Štefan (Author)
ID Žalik, Borut (Author)
Files:URL https://www.mdpi.com/2224-2708/13/6/80
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:segment, image analysis, distance metric, Watershed, DBSCAN
Publication status:Published
Publication version:Version of Record
Submitted for review:22.11.2024
Article acceptance date:25.11.2024
Publication date:29.11.2024
Publisher:MDPI
Year of publishing:2024
Number of pages:18 str.
Numbering:Vol. 13, no. 6
PID:20.500.12556/DKUM-91266 New window
UDC:004.9
ISSN on article:2224-2708
COBISS.SI-ID:217823491 New window
DOI:10.3390/ jsan13060080 New window
Copyright:© 2024 by the authors
Publication date in DKUM:05.12.2024
Views:0
Downloads:2
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Journal of sensor and actuator networks
Shortened title:J. sens. actuator netw.
Publisher:MDPI
ISSN:2224-2708
COBISS.SI-ID:18812182 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J2-4458-2022
Name:Paradigma stiskanja podatkov z odstranjevanjem obnovljivih informacij

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0041-2020
Name:Računalniški sistemi, metodologije in inteligentne storitve

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:analiza slik, metika razdalje, segmenti


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