Research On The Key Technologies Of Infrared Image Analysis

With the popularization of the third generation Uncooled Infrared Focal Plane Ar-ray(UFPA),Infrared camera, as a non-contact online thermal temperature measurementequipment, has been widly used in electrical power system, petrochemical, architecture,military industry and services. Infrared analysis software plays a kernel role in the appli-cation of Infrared Thermometry, and the relevant infrared image processing is becoming anew research hot issue. This paper proposes a series of solutions to some key problems inthe application, and in-depth study is exerted to solve the revelant theoretical problems.To improve the tolerance of IR camera to the variance of the environment temperature,a bidirectional table lookup algorithm is proposed. In addition to the temperature measuretable of the early HuiYan IR Camera, another table is introduced to measure the environmentvariance.Although infrared camera is propagandized as a predictive and preventive maintenancedevice, it is used in an ex-post way in fact. When an anomalous temperature pattern isbeing spotted, the equipment has been anomalous and the fault has occurred for some time.Without historical IR images being considered, this usage of infrared camera is static, ex-post and information discarding. This paper proposes a dynamic analysis method for IRimage series of an equipment taken at different times. Centroid Distance Function is used inimage registration for the first time. The spatial distortions will be removed by an automaticregistration algorithm. Every image will share the same spatial structure as a referenceimage. The temperature variation is brought into prominence, history and tendency analysiscan be carried out, with surface scanning ability remained, and the hand-work-load is greatlyreduced.To fulfil the big IR scene analysis need, this paper study the Log-Polar mapping andLevenberg-Marquardt Algorithm for IR image mosaicing. The spatial variant samplingstructure and rigid variance properties are fully utilized. Experiment result shows this algo-rithm is precise, stable and wide applicable.The SARS epidemic resulted in the introduction of IR camera for non-voluntary screen-ing on human face for fever symptoms, but they are not working in an automatic way. Thispaper present an human face auto detection method based on SVM. The inherent consistencyof SVM with the problem is discussed. A smart biometrics system that automatically de-tects human face in infrared video and performs temperature measurement is implemented.The potential for illumination invariant face recognition using thermal IR imagery is fully utilized.As results of this paper,"HY-2188G"IR thermal camera and"Imgsee"IR analysissoftware have become important products of HuaZhong Numeric Conrol System Company.