Automatic vs manual Thermography analysis

Automatic vs manual Thermography analysis

24/06/2020 By: Ismael Fernández Cuevas Infographics

Infrared thermography allows us to work with two different methods: qualitative (observing the colours of the thermal image) and quantitative (processing the thermograms and extracting the thermal data to analyze thermal metrics from regions of interest).

The two main problems that face professionals using infrared thermography when analysing their thermal images are: firstly, the time used processing thermal images; and secondly, the reliability of their results (the degree to which the measurement gives the same result in repeated measurements, with the same or a different observer).

Most researchers work with manual analysis, that is to say: they delimit manually the regions of interest (i.e. right knee, left knee, right ankle, etc.). ThermoHuman is a software designed by researchers to solve the problem of time spent on this duty and improve the reliability when using thermography in humans (because most of manual analysis have poor reliability results -between 0,4 and 0,9 ICC (Fernández-Cuevas et al 2016).

A recent paper (Requena-Bueno et al. 2020) has analyzed the differences between processing the same 120 feet thermal images manually or with ThermoHuman automatic software, resulting in an 86% time reduction compared with manual delimitation. In addition to that, ThermoHuman analysis got excellent ICC reliability results, better than manual procedure.


Europa Thermohuman ThermoHuman has had the support of the Funds of the European Union and the Community of Madrid through the Operational Programme on Youth Employment. Likewise, ThermoHuman within the framework of the Export Initiation Program of ICEX NEXT, had the support of ICEX and the co-financing of the European Regional Development Fund (ERDF).

CDTI Thermohuman has received funding from the Centre for the Development of Industrial Technology (CDTI), in participation with the European Regional Development Fund (ERDF), for the R+D activities involved in creating a new tool, based on thermography, for the prediction and prevention of rheumatoid arthritis. See project detail.