Methods for Auroral Oval Segmentation in Images (Part 2)

The paper provides an overview of studies conducted between 2014 and 2019 on auroral oval segmentation in images. Full sky maps and ultraviolet images were used as input data. The following methods were considered: improved level setting method for fast auroral oval segmentation (SIIALSM), regional active contour model with adaptive threshold, dual level set method based on local information with the introduction of the previous shape value into the level set structure.

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Publication Details

Journal
System Analysis & Mathematical Modeling
Published
2024-10-17
DOI
https://doi.org/10.17150/2713-1734.2024.6(3).282-299
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Methods for Auroral Oval Segmentation in Images (Part 2)

Aleksandr Garashchenko
System Analysis & Mathematical Modeling
Medical Image Segmentation Techniques
article

Methods for Auroral Oval Segmentation in Images (Part 2)

Aleksandr Garashchenko
article en

Abstract

The paper provides an overview of studies conducted between 2014 and 2019 on auroral oval segmentation in images. Full sky maps and ultraviolet images were used as input data. The following methods were considered: improved level setting method for fast auroral oval segmentation (SIIALSM), regional active contour model with adaptive threshold, dual level set method based on local information with the introduction of the previous shape value into the level set structure.

System Analysis & Mathematical ModelingVol. 6(3)
Irkutsk National Research Technical University (RU)
Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 70%
Medical Image Segmentation Techniques
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