Fish classification (FC) is an expansively studied problem in the domains of image segmentation, pattern recognition, and information retrieval.
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Fish classification (FC) is an expansively studied problem in the domains of image segmentation, pattern recognition, and information retrieval.
Jul 12, 2020 · ... Fish classification (FC) involves the identification and categorization of fish species and families based on their distinctive features.
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This document surveys fish classification techniques, comparing methods based on preprocessing, feature extraction, and classification accuracy. 2.
Jun 20, 2022 · This paper mainly reviews the strategies proposed in the past years for underwater fish detection and classification.
Manual techniques to distinguish fish can be tricky and tedious. They might require enormous inspecting endeavours, but they can be costly.
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This method shows promise for fish classification in challenging underwater environments, such as marine and aquaculture settings.
These studies demonstrate the effectiveness of deep learning techniques for fish classification and highlight the potential for using these methods in real ...
Dec 2, 2022 · The classification of Underwater images can be performed by PatternNet is technique in classifying 10,000 marine fish-images to five categories.
Fish recognition based on the combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural ...