Multiclass Image Segmentation using Deep Residual Encoder-Decoder Models in Highly Turbid Underwater Ambiances

Underwater environments, especially the coral reefs, are the habitat of many critically endangered species. Extensive monitoring of these aquatic ecosystems is essential for conserving and deep understanding of these vulnerable habitats. Monitoring by extracting details from underwater images of tur...

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Veröffentlicht in:	International journal of mathematical, engineering and management sciences Jg. 9; H. 6; S. 1510 - 1530
Hauptverfasser:	Haridas, T. P. Mithun, Kamal, Suraj, Balakrishnan, Arun A., Thomas, Rosemol, Nezla, N. A., Balakrishnan, Kannan, Supriya, M. H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dehradun International Journal of Mathematical, Engineering and Management Sciences 01.12.2024 Ram Arti Publishers
Schlagworte:	Datasets encoder-decoder model fish4knowledge multi-class image segmentation underwater image underwater noise India
ISSN:	2455-7749, 2455-7749
Online-Zugang:	Volltext
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