> ## 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.

# Causal analysis of temperature heterogeneity on airflow

> Automation 2024 paper combining color schlieren, infrared thermal imaging, DCP/NLIDA dehazing, and causal decomposition to study temperature effects on airflow.

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<PubMeta type="conference" venue="The 21th International Conference on Automation Technology (Automation 2024)" date="2024-11-22" confType="Oral" />

# Visual Causal Analysis of the Impact of Temperature Heterogeneity on Airflow Convection

Jia-Ming Zhou, Wen-Lin Chu, and Jun-Ye Luo

\*Corresponding author: Bo-Lin Jian

## Abstract

This study introduces a new color schlieren system that can directly observe temperature through image
color and simultaneously capture temperature changes using an infrared handheld thermal imager for verification.
We applied two dehazing methods to the Schlieren images to enhance airflow
details: the Dark Channel Prior (DCP) and the Non-Local Image Dehazing Algorithm (NLIDA). Our results
demonstrate that NLIDA excels in enhancing the colors and details of the airflow, whereas DCP proves more accurate
in analyzing the correlation between airflow and temperature. Analysis across four color spaces (RGB, HSV, Lab\*,
YUV) reveals that DCP-processed images exhibit a high correlation with temperature in multiple channels (correlation
coefficient absolute value > 0.8). Furthermore, we employed a causal decomposition algorithm to investigate the
relationship between airflow and temperature changes on Schlieren image colors. The causal analysis confirms that
thermal variations influence schlieren formation, identifying temperature changes as a critical factor in schlieren image
production. Finally, we developed an interactive Graphical User Interface (GUI) to visualize the results of the causal
relationship analysis, facilitating intuitive data interpretation.

## Keywords

* Color Schlieren Technique
* Dark Channel Prior (DCP)
* Non-Local Image Dehazing Algorithm (NLIDA)
* Clustering Analysis
* Causal Analysis

## Sample Results

<img src="https://mintcdn.com/felimet/o4nUK2uwNPSF27VA/images/auto2024_demo.png?fit=max&auto=format&n=o4nUK2uwNPSF27VA&q=85&s=b8cb5b7b2182dd17cf7aa5500cfd775c" alt="Demo" width="3081" height="1302" data-path="images/auto2024_demo.png" />

## BibTeX Citation

<CiteSwitch
  lang="en"
  bibtex={`@inproceedings{zhou2024automation,
author    = {Jia-Ming Zhou and Wen-Lin Chu and Jun-ye Luo},
title     = {Visual Causal Analysis of the Impact of Temperature Heterogeneity on Airflow Convection},
booktitle = {The 21th International Conference on Automation Technology (Automation 2024)},
year      = {2024},
month     = {November},
address   = {Taipei, Taiwan}
}`}
/>