Research On Zero-point Calibration And Image Processing Algorithms For A New Micro-scanning Thermal Microscope Imaging System

The thermal microscope imaging system can observe and record the temperature change process of subtle targets,and has broad application prospects in some fields based on thermal microscope analysis for non-destructive testing.In the early stage,the research team built a new optical micro-scanning thermal microscope imaging system based on uncooled focal plane detector and optical micro-scanning technology.However,the system has problems such as calibration of the micro-scan zero point,poor quality of the thermal microscope image collected by the system,and large error of the micro-scanning system.In order to solve the above problems,this paper has carried out the following research:Firstly,the principle and characteristics of histogram equalization,median filtering,morphological corrosion and gamma algorithm are studied and analyzed.Based on the characteristics of microscopic thermal image,an image preprocessing principle,morphological corrosion principle and gamma are proposed.Image preprocessing algorithm for horse algorithm.The algorithm treats the image edges and non-edge pixels separately,enhances the contrast while enhancing the detail,and effectively improves the problem that the single method can not balance the internal details and edge contours of the image.Simulation and experimental results show that the algorithm can improve the image quality and enhance the image.Visual effects.Secondly,in order to solve the problem that the micro-scanning zero point of the developed thermal microscope imaging system needs to be scaled,based on the plane coordinate system and image registration technology,a zero-point calibration method for the micro-scanning system is given,and the zero point in different cases is analyzed.The calibration method for the location.The simulation and experimental results show the effectiveness of the zero calibration method.The method has the advantages of accurate positioning,and it is convenient for real-time subsequent system.Finally,based on the image preprocessing method proposed above,combined with the working principle of micro-scanning system,a micro-scanning error correction algorithm based on image interpolation algorithm,local gradient algorithm and pre-processing idea is proposed.The algorithm can be used without changing the system hardware.The correction of the micro-scanning error is further realized under the condition.The simulation and experimental results show that the algorithm can reduce thesystem micro-scanning error and improve the spatial resolution of the system.The research of this paper provides theoretical and technical basis for realizing low-cost and high-performance thermal microscope imaging system,and promotes the development of thermal microscope imaging and non-destructive testing technology.Some methods can be directly applied to other photoelectric imaging systems to improve their performance.