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