Underwater image enhancement: a comprehensive review, recent trends, challenges and applications

S Raveendran, MD Patil, GK Birajdar - Artificial Intelligence Review, 2021 - Springer
The mysteries of deep-sea ecosystems can be unlocked to reveal new sources, for
develo** medical drugs, food and energy resources, and products of renewable energy …

Object recognition datasets and challenges: A review

A Salari, A Djavadifar, X Liu, H Najjaran - Neurocomputing, 2022 - Elsevier
Object recognition is among the fundamental tasks in the computer vision applications,
paving the path for all other image understanding operations. In every stage of progress in …

Computer vision and deep learning for fish classification in underwater habitats: A survey

A Saleh, M Sheaves, M Rahimi Azghadi - Fish and Fisheries, 2022 - Wiley Online Library
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …

LoTE-Animal: A long time-span dataset for endangered animal behavior understanding

D Liu, J Hou, S Huang, J Liu, Y He… - Proceedings of the …, 2023 - openaccess.thecvf.com
Understanding and analyzing animal behavior is increasingly essential to protect
endangered animal species. However, the application of advanced computer vision …

A deep journey into image enhancement: A survey of current and emerging trends

DC Lepcha, B Goyal, A Dogra, KP Sharma, DN Gupta - Information Fusion, 2023 - Elsevier
Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

Coral reef fish detection and recognition in underwater videos by supervised machine learning: Comparison between Deep Learning and HOG+ SVM methods

S Villon, M Chaumont, G Subsol, S Villéger… - … on Advanced Concepts …, 2016 - Springer
In this paper, we present two supervised machine learning methods to automatically detect
and recognize coral reef fishes in underwater HD videos. The first method relies on a …

Underwater fish species recognition using deep learning techniques

BV Deep, R Dash - 2019 6th International Conference on …, 2019 - ieeexplore.ieee.org
Underwater fish species recognition has gained importance due to the emerging researches
in marine science. Automating the fish species identification using technology would help …

A large-scale dataset for fish segmentation and classification

O Ulucan, D Karakaya, M Turkan - 2020 Innovations in …, 2020 - ieeexplore.ieee.org
Assessing the quality of seafood both in retail and during packaging at the production side
must be carried out minutely in order to avoid spoilage which causes severe human health …

YOLO fish detection with Euclidean tracking in fish farms

Y Wageeh, HED Mohamed, A Fadl, O Anas… - Journal of Ambient …, 2021 - Springer
The activities of managing fish farms, like fish ponds surveillance, are one of the tough and
costly fish farmers' missions. Generally, these activities are done manually, wasting time and …

Msr-yolo: Method to enhance fish detection and tracking in fish farms

HED Mohamed, A Fadl, O Anas, Y Wageeh… - Procedia Computer …, 2020 - Elsevier
Tasks involving the monitoring of fish farms such as controlling fish ponds is one of the
expensive and difficult tasks for fish farmers. Usually, fish farmers are doing these tasks …