W. Auccahuasi, Oscar Linares, K. Urbano, K. Rojas, Gabriel Aiquipa, Tamara Pando-Ezcurra
{"title":"用于肌肉分析的光学和热图像融合方法","authors":"W. Auccahuasi, Oscar Linares, K. Urbano, K. Rojas, Gabriel Aiquipa, Tamara Pando-Ezcurra","doi":"10.1109/ICAAIC56838.2023.10140866","DOIUrl":null,"url":null,"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.","PeriodicalId":267906,"journal":{"name":"2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method for Fusing Optical and Thermal Images Applied to Muscle Analysis\",\"authors\":\"W. Auccahuasi, Oscar Linares, K. Urbano, K. Rojas, Gabriel Aiquipa, Tamara Pando-Ezcurra\",\"doi\":\"10.1109/ICAAIC56838.2023.10140866\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":267906,\"journal\":{\"name\":\"2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAAIC56838.2023.10140866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAAIC56838.2023.10140866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method for Fusing Optical and Thermal Images Applied to Muscle Analysis
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.