Underwater Image Enhancement for Instance Segmentation using Deep Learning Models

Underwater Image Enhancement for Instance Segmentation using Deep Learning Models

Underwater instance segmentation greatly depends on color-blended underwater images. In this work, a combination of Generalized Color Fourier Descriptor (GCFD), Convolutional Neural Network (CNN) and Mask Region-based Convolutional Neural Network (Mask R-CNN) models were employed to generate a mask...

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Bibliographic Details
Main Authors: R. W. Bello, C. U. Oluigbo, I. G. Peanock, O. M. Moradeyo
Format: Article
Language:English
Published: Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2023-02-01
Series:Journal of Applied Sciences and Environmental Management
Subjects:
convolutional neural networks;
deep learning;
image enhancement;
underwater image
Online Access:https://www.ajol.info/index.php/jasem/article/view/242396

Internet

https://www.ajol.info/index.php/jasem/article/view/242396

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