Analysis of Materials Emissivity Based on Image Software

机译：基于图像软件的材料发射率分析

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Thermography Infrared (TIV) is a nondestructive diagnostic technique, with non-contact, to evaluate the surface temperature of objects based on the emitted radiation. The surface temperature field is carried out using an image that reproduces color patterns. As a non-destructive, versatile, and non-contact technique, constitutes a very useful tool in various fields. Active or passive heating procedures may be used. Nevertheless, accurate measurement of temperature is strongly dependent on the emissivity value of the material. This study presents and discusses a methodology for measuring the materials emissivity using image processing software. The results show an effective and valuable contribution in this field, especially for application in active thermography.

机译：热成像红外（TIV）是一种非破坏性诊断技术，具有非接触，基于发射的辐射评估物体的表面温度。使用再现颜色模式的图像进行表面温度场。作为非破坏性，多功能和非接触技术，构成了各种领域的一个非常有用的工具。可以使用主动或无源加热程序。然而，精确测量温度强烈依赖于材料的发射率值。本研究介绍了使用图像处理软件测量材料发射率的方法。结果表明了该领域有效且有价值的贡献，特别是在有源热成像中应用。

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《World Conference on Information Systems and Technologies》|2016年||共9页
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作者
Rui Pitarma; Jo?o Crisóstomo; Luís Jorge;
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中图分类 TP14-532;
关键词
emissivity; infrared thermography; non-destructive diagnostic technique; image software;

机译：发射率;红外热成像;非破坏性诊断技术;图像软件;

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机译：基于声发射分析和图像处理的木质材料破坏行为机理研究
2. An image analysis pipeline for the semi-automated analysis of clinical fMRI images based on freely available software. [J] . Karmonik C, York M, Grossman R, Computers in Biology and Medicine . 2010,第3期

机译：一种基于免费软件的半自动分析临床fMRI图像的图像分析管道。
3. Erratum: Gli?, J.; et al. Pyplis –A Python Software Toolbox for the Analysis of SO 2 Camera Images for Emission Rate Retrievals from Point Sources. Geosciences 2017, 7 , 134 [J] . Geosciences Editorial Office Geosciences . 2018,第2期

机译：勘误表：Gli ?, J .;等。 Pyplis –一个Python软件工具箱，用于分析SO 2摄像机图像以从点源中检索排放率。地质科学2017，7，134
4. Analysis of Materials Emissivity Based on Image Software [C] . Rui Pitarma, Jo?o Crisóstomo, Luís Jorge World Conference on Information Systems and Technologies . 2016

机译：基于图像软件的材料发射率分析
5. Cyanines, Squaraines, and Xanthene Based NIR Emissive Materials for Biological Imaging [D] . Gayton, Jacqueline. 2020

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6. VOC Emissions from Spruce Strands and Hemp Shive: In Search for a Low Emission Raw Material for Bio-Based Construction Materials [O] . Tereza Adamová, Jaromír Hradecký, Marek Prajer 2019

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7. Erratum: Gliß, J.; et al. Pyplis–A Python Software Toolbox for the Analysis of SO2 Camera Images for Emission Rate Retrievals from Point Sources. Geosciences 2017, 7, 134 [O] . Geosciences Editorial Office 2018

机译：错误：gliß，j;等等。 Pyplis-a python软件工具箱，用于分析SO2摄像机图像，用于从点源从点检索进行排放率检索。地球科学2017,7,134
8. Formation of Parametric Images in Positron Emission Tomography Using a Clustering-Based Kinetic Analysis With Statistical Clustering. [R] . Kimura, Y., Noshi, Y., Oda, K., 2001

机译：利用基于聚类的动力学分析统计聚类在正电子发射层析成像中形成参数图像。

Analysis of Materials Emissivity Based on Image Software

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