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Volume 13
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10.3390/jsan13060080
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Article

Region Segmentation of Images Based on a Raster-Scan Paradigm

by
Luka Lukač
,
Andrej Nerat
,
Damjan Strnad
,
Štefan Horvat
and
Borut Žalik
*
Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, SI-2000 Maribor, Slovenia
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2024, 13(6), 80; https://doi.org/10.3390/jsan13060080
Submission received: 7 October 2024 / Revised: 22 November 2024 / Accepted: 25 November 2024 / Published: 28 November 2024
(This article belongs to the Section Actuators, Sensors and Devices)
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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.
Keywords: image analysis; segment; distance metric; Watershed; DBSCAN image analysis; segment; distance metric; Watershed; DBSCAN

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MDPI and ACS Style

Lukač, L.; Nerat, A.; Strnad, D.; Horvat, Š.; Žalik, B. Region Segmentation of Images Based on a Raster-Scan Paradigm. J. Sens. Actuator Netw. 2024, 13, 80. https://doi.org/10.3390/jsan13060080

AMA Style

Lukač L, Nerat A, Strnad D, Horvat Š, Žalik B. Region Segmentation of Images Based on a Raster-Scan Paradigm. Journal of Sensor and Actuator Networks. 2024; 13(6):80. https://doi.org/10.3390/jsan13060080

Chicago/Turabian Style

Lukač, Luka, Andrej Nerat, Damjan Strnad, Štefan Horvat, and Borut Žalik. 2024. "Region Segmentation of Images Based on a Raster-Scan Paradigm" Journal of Sensor and Actuator Networks 13, no. 6: 80. https://doi.org/10.3390/jsan13060080

APA Style

Lukač, L., Nerat, A., Strnad, D., Horvat, Š., & Žalik, B. (2024). Region Segmentation of Images Based on a Raster-Scan Paradigm. Journal of Sensor and Actuator Networks, 13(6), 80. https://doi.org/10.3390/jsan13060080

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