research-article

A Review of Sonar Image Segmentation for Underwater Small Targets

Authors:

Linna SunAuthors Info & Claims

PRIS '20: Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems

Article No.: 2, Pages 1 - 4

https://doi.org/10.1145/3415048.3416098

Published: 04 September 2020 Publication History

Abstract

The existing image segmentation methods are various, but due to the particularity of sonar images, the ordinary image segmentation methods often fail to achieve ideal results when processing sonar images and have limitations. On the basis of studying a large number of image segmentation methods at home and abroad, the authors recommends the following methods with comprehensive characteristics that are more suitable for sonar image segmentation, such as thresholding, edge detection, MRF and clustering algorithm. For nearly a decade, many scholars have improved the traditional segmentation methods by combining the characteristics of sonar images, or improved the algorithms by combining various segmentation methods to make up for the shortcomings of the original segmentation methods applied to sonar images.

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Cited By

Zhao DZhou HChen PHu YGe WDang YLiang R(2024)Design of Forward-Looking Sonar System for Real-Time Image Segmentation With Light Multiscale Attention NetIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.334112773(1-17)Online publication date: 2024
https://doi.org/10.1109/TIM.2023.3341127
Zhu JCai WZhang MPan M(2024)Sonar Image Coarse-to-Fine Few-Shot Segmentation Based on Object-Shadow Feature Pair Localization and Level Set MethodIEEE Sensors Journal10.1109/JSEN.2024.335671224:6(8346-8360)Online publication date: 15-Mar-2024
https://doi.org/10.1109/JSEN.2024.3356712
Zhang MCai WWang YZhu J(2024)A Level Set Method With Heterogeneity Filter for Side-Scan Sonar Image SegmentationIEEE Sensors Journal10.1109/JSEN.2023.333476524:1(584-595)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JSEN.2023.3334765
Show More Cited By

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PRIS '20: Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems

July 2020

136 pages

ISBN:9781450387699

DOI:10.1145/3415048

Editor:
Wenbing Zhao

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 September 2020

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PRIS 2020: 2020 International Conference on Pattern Recognition and Intelligent Systems

July 30 - August 2, 2020

Athens, Greece

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Cited By

Zhao DZhou HChen PHu YGe WDang YLiang R(2024)Design of Forward-Looking Sonar System for Real-Time Image Segmentation With Light Multiscale Attention NetIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.334112773(1-17)Online publication date: 2024
https://doi.org/10.1109/TIM.2023.3341127
Zhu JCai WZhang MPan M(2024)Sonar Image Coarse-to-Fine Few-Shot Segmentation Based on Object-Shadow Feature Pair Localization and Level Set MethodIEEE Sensors Journal10.1109/JSEN.2024.335671224:6(8346-8360)Online publication date: 15-Mar-2024
https://doi.org/10.1109/JSEN.2024.3356712
Zhang MCai WWang YZhu J(2024)A Level Set Method With Heterogeneity Filter for Side-Scan Sonar Image SegmentationIEEE Sensors Journal10.1109/JSEN.2023.333476524:1(584-595)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JSEN.2023.3334765
He QLei MGao GWang QLi JLi JHe B(2023)Improved Adaptive Finch Clustering Sonar Segmentation Algorithm Based on Data Distribution and Posterior ProbabilityElectronics10.3390/electronics1215329712:15(3297)Online publication date: 31-Jul-2023
https://doi.org/10.3390/electronics12153297
Xuan KDeng LXiao YWang PLi J(2023)SO-YOLOv5: Small object recognition algorithm for sea cucumber in complex seabed environmentFisheries Research10.1016/j.fishres.2023.106710264(106710)Online publication date: Aug-2023
https://doi.org/10.1016/j.fishres.2023.106710
Zhao DGe WChen PHu YDang YLiang RGuo X(2022)Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar ImagesSensors10.3390/s2221846822:21(8468)Online publication date: 3-Nov-2022
https://doi.org/10.3390/s22218468
Awalludin EArsad TYussof WBachok ZHitam M(2022)A Comparative Study of Various Edge Detection Techniques for Underwater ImagesJournal of Telecommunictions and Information Technology10.26636/jtit.2022.1559211:2022(23-33)Online publication date: 31-Mar-2022
https://doi.org/10.26636/jtit.2022.155921

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