> ## Documentation Index
> Fetch the complete documentation index at: https://felimet-hub.jmcores.com/llms.txt
> Use this file to discover all available pages before exploring further.

# 彩色紋影熱動態影像的防疫應用

> Automation 2023 研討會論文，結合彩色紋影與紅外線熱影像，並以粒子影像測速（PIV）與穩健主成分分析（RPCA）演算法量測口罩配戴時的呼吸氣流速度與溫度分布，為公共衛生防疫策略提供科學實證資料。

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<PubMeta type="conference" venue="The 20th International Conference on Automation Technology (Automation 2023)" date="2023-12-08" confType="Oral" />

# Epidemic Prevention Applications of Color Schlieren Thermal Dynamics Imaging

Jia-Ming Zhou, and Bo-Lin Jian

## 摘要 Abstract

本研究建立一套整合紋影光學與紅外熱影像的雙模態視覺化系統，用於量化分析口罩配戴時的呼吸氣流動力學特性。
研究採用穩健主成分分析（RPCA）將動態影像分解為低秩矩陣（背景結構）與稀疏矩陣（動態目標），
並透過粒子影像測速技術（PIV）精確量測氣流速度場分布。實驗比較一般醫療口罩、4D 醫療口罩與 N95 口罩三種類型，
結果顯示一般醫療口罩的呼氣流速最高可達 0.6 m/s，而 N95 口罩則低於 0.35 m/s。透過雙模態影像融合技術，
成功整合紋影影像的氣流紋理與熱影像的溫度分布資訊，產生彩色紋影熱動力學影像。研究並採用流速感測器進行交叉驗證，
確保分析結果的可靠性。此創新方法不僅揭示口罩對氣流傳播路徑與速度的阻隔效應，更為公共衛生防疫策略提供客觀的科學資料支持，
具有重要的實務應用價值。

This study establishes a dual-modal visualization system integrating schlieren optics and infrared thermal
imaging for quantitative analysis of respiratory airflow dynamics during mask wearing.
The research employs Robust Principal Component Analysis (RPCA) to decompose dynamic imagery into
low-rank matrices (background structure) and sparse matrices (dynamic targets),
and utilizes Particle Image Velocimetry (PIV) to accurately measure airflow velocity field distributions.
The experimental investigation compares three mask types: standard surgical masks, 4D surgical masks,
and N95 respirators. Results demonstrate that exhalation velocities from standard surgical masks
reach up to 0.6 m/s, whereas N95 respirators exhibit velocities below 0.35 m/s. Through dual-modal image
fusion techniques, the system successfully integrates the airflow texture from schlieren images with
emperature distribution information from thermal images, generating color schlieren thermodynamic imagery.
The study incorporates flow velocity sensors for cross-validation to ensure analytical reliability.
This innovative methodology not only reveals the blocking effects of masks on airflow propagation
pathways and velocities but also provides objective scientific data to support public health epidemic
prevention strategies, demonstrating significant practical application value.

## 關鍵字 Keywords

* 彩色紋影技術 Color Schlieren Techniques
* 穩健主成分分析 Robust Principal Component Analysis (RPCA)
* 粒子影像測速 Particle Image Velocimetry (PIV)
* 紅外線熱影像 Infrared Thermal Imaging
* 口罩與呼吸氣流影響 Impact of Masks on Respiratory Airflow

## 研究結果示例

<img src="https://mintcdn.com/felimet/o4nUK2uwNPSF27VA/images/auto2023_demo.png?fit=max&auto=format&n=o4nUK2uwNPSF27VA&q=85&s=1c02edf24deb052642d859484de69277" alt="Demo" width="1907" height="1482" data-path="images/auto2023_demo.png" />

## 引用格式 BibTeX

<CiteSwitch
  bibtex={`@inproceedings{zhou2023automation,
author    = {Jia-Ming Zhou and Bo-Lin Jian},
title     = {Epidemic Prevention Applications of Color Schlieren Thermal Dynamics Imaging},
booktitle = {The 20th International Conference on Automation Technology (Automation 2023)},
year      = {2023},
month     = {December},
address   = {Taipei, Taiwan}
}`}
/>