Neural Network for Underwater Fish Image Segmentation Using an Enhanced Feature Pyramid Convolutional Architecture

Neural Network for Underwater Fish Image Segmentation Using an Enhanced Feature Pyramid Convolutional Architecture

Underwater fish image segmentation is a crucial technique in marine fish monitoring. However, typical underwater fish images often suffer from issues such as color distortion, low contrast, and blurriness, primarily due to the complex and dynamic nature of the marine environment. To enhance the accu...

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Bibliographic Details
Main Authors: Guang Yang, Junyi Yang, Wenyao Fan, Donghe Yang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Marine Science and Engineering
Subjects:
fish segmentation
attention mechanism
pyramid architecture
deep learning
Online Access:https://www.mdpi.com/2077-1312/13/2/238
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