Non-Destructive Estimation of Paper Fiber Using Macro Images: A Comparative Evaluation of Network Architectures and Patch Sizes for Patch-Based Classification

Non-Destructive Estimation of Paper Fiber Using Macro Images: A Comparative Evaluation of Network Architectures and Patch Sizes for Patch-Based Classification

Over the years, research in the field of cultural heritage preservation and document analysis has exponentially grown. In this study, we propose an advanced approach for non-destructive estimation of paper fibers using macro images. Expanding on studies that implemented EfficientNet-B0, we explore t...

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Bibliographic Details
Main Authors: Naoki Kamiya, Kosuke Ashino, Yasuhiro Sakai, Yexin Zhou, Yoichi Ohyanagi, Koji Shibazaki
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:NDT
Subjects:
paper fiber estimation
non-destructive analysis
patch-based image classification
deep learning
Online Access:https://www.mdpi.com/2813-477X/2/4/30
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