Transmittance Correction-Based Infrared Temperature Measurement Method Under Dynamic Water Mist Interference

Infrared thermography (IRT) is a widely used noncontact temperature measurement technology. However, dynamic water mist interference in measurement scenarios can affect the accuracy of infrared temperature measurement. To address the measurement errors caused by dynamic water mist, an infrared temperature measurement method is proposed based on transmittance correction. First, a water mist feature extraction module is designed to quantify water mist interference by extracting saturation, brightness, and channel contrast. Second, a transmittance correction model is established using water mist features, which corrects the water mist transmittance in the visible band to that in the infrared band. Then, an intelligent temperature compensation model based on a gated stacked autoencoder (SAE) is constructed to estimate the temperature measurement error caused by water mist and compensate the infrared temperature measurement results. Experimental results show that the proposed method can effectively overcome the infrared temperature measurement errors caused by dynamic water mist.