Proceedings of the International Conference of Fluid Power and Mechatronic Control Engineering (ICFPMCE 2022)

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Research on Underwater Image Semantic Segmentation Method Based on SegNet

Authors
Jialun Wang1, Fusheng Zha1, *, Xiuwen Bi1
1Institute of Robotics, School of Mechanical and Electrical Engineering, Harbin University of Technology, Harbin, China
*Corresponding author. Email: zhafusheng@hit.edu.cn
Corresponding Author
Fusheng Zha
Available Online 7 December 2022.
DOI
10.2991/978-94-6463-022-0_12How to use a DOI?
Keywords
Underwater image; Semantic segmentation; Image enhancement; Edge extraction
Abstract

At present, there is little research on underwater image semantic segmentation, and the effect of training using the traditional semantic segmentation network model on land is not ideal. This paper analyzes the current development of underwater image semantic segmentation, establishes a multi-objective underwater image semantic segmentation dataset, and proposes a network model for the impact of underwater complex conditions on semantic segmentation. Experiments show that this network has better segmentation effect than SegNet network in processing underwater images.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference of Fluid Power and Mechatronic Control Engineering (ICFPMCE 2022)
Series
Atlantis Highlights in Engineering
Publication Date
7 December 2022
ISBN
978-94-6463-022-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-022-0_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jialun Wang
AU  - Fusheng Zha
AU  - Xiuwen Bi
PY  - 2022
DA  - 2022/12/07
TI  - Research on Underwater Image Semantic Segmentation Method Based on SegNet
BT  - Proceedings of the International Conference of Fluid Power and Mechatronic Control Engineering (ICFPMCE 2022)
PB  - Atlantis Press
SP  - 131
EP  - 140
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-022-0_12
DO  - 10.2991/978-94-6463-022-0_12
ID  - Wang2022
ER  -