Correction of Temperature Estimated from a Low-Cost Handheld Infrared Camera for Clinical Monitoring
| Autor: | Benjamin Castaneda, Evelyn Gutierrez, Sylvie Treuillet |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Infrared Computer science 0206 medical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 030209 endocrinology & metabolism 02 engineering and technology 020601 biomedical engineering Multiple point 03 medical and health sciences Health problems 0302 clinical medicine Position (vector) Thermal Image acquisition Computer vision Artificial intelligence business Angle of view Mobile device |
| Zdroj: | Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042 ACIVS |
| Popis: | The use of low-cost cameras for medical applications has its advantages as it enables affordable and remote evaluations of health problems; however, the accuracy is a limiting factor to use them. Previous studies indicate that parameters from object position like distance camera-object and angle of view could be used to improve temperature estimation from thermal cameras. Nevertheless, most studies are focused on expensive thermal cameras with good accuracy. In this study, an innovative experimental setup is used to study the errors associated to temperature estimation from a low-cost infrared camera: FlirOne Gen3. In our experiments, the image acquisition is done from multiple point of view (distance camera-object and viewing angles) and by using a thermal camera manipulated by hand. Then, using a regression model, a correction is proposed and tested. The results show that our proposed correction improves the temperature estimation and enhance the thermal accuracy. |
| Databáze: | OpenAIRE |
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