A Novel Noncontact Temperature Field Measurement Method Based on Transmittance Field Estimation Under Dynamic Water Mist Interference

Abstract

The infrared thermography (IRT) is a prevalent noncontact approach for measuring temperature fields. However, the dynamic water mist can absorb and scatter infrared radiation, resulting in measurement inaccuracies. Addressing this issue, a novel temperature field measurement method based on transmittance field estimation under water mist interference is proposed, and the key point is to introduce visible vision to obtain prior environmental information. First, a visible and thermal image registration algorithm are designed to solve the unaligned images, which incorporates camera imaging parameters to constrain the affine parameters. Then, a two-stage transmittance field estimation model combining visible and infrared vision is established to quantify the interference of water mist into transmittance. Following this, based on the principle of infrared temperature measurement, a temperature field measurement model tailored for the water mist environment is constructed, and the temperature field is accurately measured by substituting the estimated transmittance field. Finally, the experimental results with five common objects and four different heating plates show that the proposed method can achieve accurate temperature field measurement under the interference of dynamic water mist.