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Research Of Image Processing Theory And Technology For Thermal Microscopic Imaging System

Posted on:2015-12-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y M LiFull Text:PDF
GTID:2298330422470715Subject:Optical Engineering
Abstract/Summary:PDF Full Text Request
With the beginning of the thermal microscopic imaging system’s launched and thedevelopment of infrared thermal imaging technology by twentieth century, micro thermalimaging systems were widely used in more and more fields. However, the developmentrestrictions of infrared devices and harsh process requirements of micro thermal imagingsystem, just like characteristics of blurred edges and strong spatial correlation and poorsignal to noise ratio for the infrared image, were totally lead an unable ideal affection tothe micro thermal imaging. The most effective and economy means to solve the aboveproblems was that thermal microscopic imaging system with digital image processingfunctions, which is not only feasible, but also has considerable flexibility and it can makeup the deficiency of the hardware. So this paper studied the technology of micro thermalimaging system and thermal image processing theory.Firstly, the thermal images collected by micro thermal imaging system were analyzed,and we made researches on mechanism and features of thermal images. With analysis thedifferences between thermal images and infrared images, we provided a theoretical basisfor study to thermal image enhancement algorithms.Secondly, the advantages and disadvantages of traditional infrared imageenhancement algorithms and various enhancement algorithms mathematical derivationwere discussed. The common image enhancement processing and histogram equalizationanalyzed as a starting point, we presented a Noise Weakening-Contrast Improving-DetailIncreasing comprehensive improved algorithm that suitable for micro thermal images, andgave details of the overall process and the effect of improving for the improved algorithm.Then, on the basis of the strengths and weaknesses of nearest neighbor interpolationand bilinear interpolation, we proposed an enlargement algorithm which based on theweighted mixed interpolation of both, and laid the foundation for improved POCSalgorithm of microscopic thermal image. A microscopic thermal imaging system withoptical micro-scanning device generated2×2low-resolution images in this paper. As themicro-displacement of our low-resolution images’ location was not strictly square that four images had a certain deviation, therefore, this paper presented a high-resolutionimage reconstruction algorithm which was effectively reduce the image errors caused bymicro-displacement and improve the quality of image to enlarge.Finally, in order to improved the processing speed of thermal microscopic imageenhancement, we put forward the microscopic thermal image enhancement algorithm ontothe DSP development board for simulation experiments. Experimental results show thatthe DSP chip can easily achieve microscopic thermal image enhancement processing andbuild a DSP-based real-time microscopic thermal image processing platform.The thesis discusses the mechanism and performance indicators for microscopicthermal images under microscopic thermal imaging systems, and completes themicroscopic study of the thermal image processing algorithms and hardwareimplementation. The study has an very important reference value for the microscopicthermal imaging system with digital image processing, and lay a theoretical foundation forthe system’s real-time and practically.
Keywords/Search Tags:thermal microscopic imaging system, digital image processing, imageenhancement, interpolation enlargement, optical micro-scanning, resolutionimage reconstruction, DSP
PDF Full Text Request
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