Research On Performance Evaluation Technology Of Infrared Imaging System Based On TTP Criterion

With the continuous development of infrared imaging technology and the optimization of the development and design of infrared imaging systems by cutting-edge new technologies,the application scenarios of infrared thermal imaging cameras in various fields of military,industry,and life are also expanding.Due to the rapid spread of the pneumonia epidemic caused by the new coronavirus in 2020,the use of thermal imaging cameras to perform accurate body temperature monitoring in public places has become a key research content in related fields.The performance of thermal imaging cameras will directly affect the temperature monitoring.Accuracy is vital to the prevention and control of the epidemic.Therefore,for infrared thermal imaging cameras used for body temperature monitoring,a comprehensive and scientific performance evaluation model is established to accurately predict its inherent performance and on-site performance.Based on the performance model,it provides a new standard for the optimal design of similar thermal imaging cameras.And the basis is a problem that needs to be solved urgently.Aiming at the research objectives proposed above,this paper has done the following work:(1)Analyzed the physical factors affecting imaging in the various components of the infrared imaging system,and used the modulation transfer function to quantify the physical effects to establish infrared imaging The system simulation model characterizes the impact of the imaging process on the input signal;(2)Based on the target task performance(TTP)criterion,based on the accurate modeling of the human visual system,a periodic rectangular spline is established The target NVTherm IP on-site performance prediction model is used to predict the target acquisition performance and operating distance of the thermal imager under study;(3)An experimental platform that can dynamically measure the triangle direction identification threshold curve(tod)is built,and the design and processing include 7 Infrared targets with different sizes of triangular non-periodic standard splines,using the forced four-to-one(4AFC)experimental method,measured under static and dynamic conditions,the experimenter's performance of the triangular target splines with different target background contrasts and sizes Judging the probability in the correct direction,fitting the curve and the correct discrimination probability of the images with different brightness and contrast;(4)Use triangular nonperiodic targets instead of rectangular periodic targets as the identification target,optimize the ttp criterion,obtain the human eye contrast threshold function(TODCTF)facing the triangular target according to the tod curve,and establish a field performance prediction model based on the tof curve.The target acquisition distance is predicted and calculated,and compared with the prediction results of the NVTherm IP model and the measured data in the real scene respectively to verify the feasibility of the model.