Method for Fusing Optical and Thermal Images Applied to Muscle Analysis

W. Auccahuasi, Oscar Linares, K. Urbano, K. Rojas, Gabriel Aiquipa, Tamara Pando-Ezcurra
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Abstract

Currently, digital technologies are widely used to record any event by using different types of cameras, for different uses. There are cameras that use an optical sensor, which generates images in the RGB model. There are some cameras that use thermal sensors, which perform the registration of the temperature of the object being recorded and presents them under a color model using a color map. This research study uses a novel method to fuse optical and thermal images with the intention of being able to recognize certain parts of the human body. This study evaluates the presence of veins that have a higher temperature when performing rehabilitation exercises. The results allow to evaluate different combinations of color bands. In order to demonstrate the method, the use and application will depend on the analysis of the image and the interpretation by health personnel. At the time of merging the images, the optical image provides the structural part of the image, and the thermal image provides the functionality characterized by the body temperature. As a conclusion, this research study indicates that the proposed method can be applied to other applications in order to look for applications where the method can help in the diagnosis and evaluation of the treatment.
用于肌肉分析的光学和热图像融合方法
目前,数字技术被广泛用于记录任何事件,通过使用不同类型的相机,用于不同的用途。有些相机使用光学传感器,以RGB模式生成图像。有一些相机使用热传感器,它执行被记录物体的温度注册,并使用彩色地图将它们呈现在颜色模型下。本研究采用一种新颖的方法将光学和热图像融合在一起,目的是能够识别人体的某些部位。本研究评估了在进行康复训练时静脉温度较高的情况。结果允许评估不同的色带组合。为了演示该方法,使用和应用将取决于对图像的分析和卫生人员的解释。在图像合并时,光学图像提供图像的结构部分,热图像提供以体温为特征的功能部分。综上所述,本研究表明,所提出的方法可以应用于其他应用,以寻找该方法可以帮助诊断和评估治疗的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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