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Research on Key Techniques of 480×6 Scanning Long Wave Cooler Thermal Imaging System

Author: CaoJingZuo
Tutor: GuGuoHua
School: Nanjing University of Technology and Engineering
Course: Optical Engineering
Keywords: scanning thermal imaging system low noise power low noise driver image order compare with neighborhood
CLC: TN215
Type: Master's thesis
Year: 2012
Downloads: 109
Quote: 3
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Abstract


The scanning infrared thermal imaging system have the characteristics of small blind piexel, high signal-to-noise ratio and it is easy to produce with low technical difficulty. Presently we have developed national production of it but still can’t reach to the level of western countries. On one hand, noise is the trouble which affects the quality of thermal infraed image. The noise of power and driver system will decline the image quality. On the other hand, the improvement and application of algorithm is the key point in image processing. Because of the construction of the scanning detector, the signals from detector need to be ordered before appearance on the screen. There often are shot and random noise on original image. So the study of these technologies has an important significance.The thesis gave an intrduction of 480×6 long wave cooler scanning detector referenced as ID TL056 XX-V3 made by a French company Sofradia. On the basis of the detector, the work of this thesis focused on researching some key technologies. The article analyzed the source of noise from the perspective of power integrity and designed the filter circuits according to power distribution system. In order to keep the noise at a low level, low-noise bias voltage and differential amplifier circuits research was important in low noise driver technology. In image processing respect, one was the image order algorithm which outputted the correct image. The algorithm used the method of delay the first piexl of each image according to the signal output rules. The other algorithm was improved median filter based on traditional one. The improved algorithm compared the median value with the neighborhood and got a new value to instead the center value. This kind of median filter algorithm not only filtered the noise but also protected the details of image. At the end, a statement of some problems haven’t been resolved and the prospect of the scanning cooler thermal imaging system development were given.By the research on the hardware and image processing technologies of the scanning cooler thermal imaging system, it provided both theoretical basis and practical support for further progress in national thermal imaging system.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Photonics technology,laser technology > Infrared technology and equipment > Infrared detection,infrared detectors
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