Encoding Holographic Data Into Synthetic Video Streams for Enhanced Microplastic Detection

Encoding Holographic Data Into Synthetic Video Streams for Enhanced Microplastic Detection

This study presents a novel deep learning pipeline for the detection and classification of microplastics using digital holography, with a focus on synthetic microfibers released during laundry. We introduce HMPD 2.0, an enhanced version of the Holography MicroPlastic Dataset featuring 24 amplitude a...

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Bibliographic Details
Main Authors: Paolo Russo, Fabiana Di Ciaccio, Pasquale Santaniello, Teresa Cacace, Pierluigi Carcagni, Marco del Coco, Melania Paturzo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
digital holography
image fusion
microplastics
transformer networks
Online Access:https://ieeexplore.ieee.org/document/11095714/
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https://ieeexplore.ieee.org/document/11095714/

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