An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species

An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species

In this study, we designed an automated classification method, inspired by human taxonomic principles, to distinguish visually similar species of pelagic fish in images through the integration of morphological feature analysis with a hierarchical classification technique. By adapting the Keypoint R-...

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Bibliographic Details
Main Authors: Vincenzo Caro Fuentes, Danny Luarte, Ariel Torres, Jorge E. Pezoa, Sebastian E. Godoy, Sergio N. Torres, Mauricio A. Urbina
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fish recognition
feature extraction
automated classification
object detection
keypoint detection
hierarchical classification
Online Access:https://ieeexplore.ieee.org/document/11084766/
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