用于微光CCD的关联成像软件开发

发布时间：2018-03-27 12:46

本文选题：关联成像　切入点：赝热光　出处：《西安电子科技大学》2015年硕士论文

【摘要】：关联成像是一种利用光场强度关联的新型成像方式。与经典成像方式相比,关联成像优点突出:成像具有非定域性、成像分辨率不受瑞利衍射极限限制、可抑制大气湍流对成像质量的影响等。关联成像系统中,对光强信号的探测和符合计算是研究重点。最初的热光关联成像利用的是物体的透射光成像,然而在实际应用中利用物体的反射光成像更符合关联成像系统以后的发展。与透射光关联成像相比,反射光光强比较弱并且成像会引入许多的噪声,因此反射光关联成像具有更重要的研究意义。开发合适的光强信息采集程序和快速有效的符合计算方法是反射光关联成像的实用化需求。本文主要围绕关联成像的光强信息采集和符合计算方法,完成了关联成像基础理论研究,微光CCD采集程序和符合计算算法的实现,具体内容包括:1.综述了关联成像的发展历程,分析了CCD作为探测器的符合计算的发展状况。2.从热光场的相干性出发,从理论上分析了热光场的一阶相干性和二阶HBT关联特性。重点讨论了实验室中采用的赝热光的关联特性,包括时间和空间二阶关联特性,这也是热光关联成像的物理本质。根据赝热光的HBT关联,利用MATLAB编程实现了赝热光场横向相干长度的计算。3.反射光关联成像光强比较弱,为便于研究本文采用微光CCD作为关联成像的光强探测器,在分析了INFINITY 3-1M微光CCD工作原理和性能特点之后,本文编程实现了微光CCD满足关联成像要求的快速采集程序。4.关联成像系统最后也是最重要的一步是对采集的光强信息进行符合计算,然后在参考光路上得到物体的像。本文系统研究了关联成像的符合测量方法的发展,重点分析了基于光强涨落的正负涨落符合(PNFC)算法,对该算法的处理过程和理论基础进行了详细的论述。利用MATLAB实现了该符合算法,得到了100%对比度的HBT关联以及对比度提高了的反射光关联成像结果。
[Abstract]:Correlation imaging is a new type of imaging method using intensity correlation of light field. Compared with classical imaging methods, correlation imaging has the advantages of non-local imaging, and the resolution of imaging is not limited by Rayleigh diffraction limit, the imaging resolution is not limited by Rayleigh diffraction limit, and the imaging resolution is not limited by Rayleigh diffraction limit. In the correlation imaging system, the detection and coincidence calculation of the intensity signal is the focus of the research. The original thermo-optical correlation imaging uses the transmission light imaging of the object. However, in practical applications, the use of reflected light imaging of objects is more in line with the development of the correlation imaging system. Compared with the transmission light correlation imaging, the reflected light intensity is weaker and the imaging will introduce a lot of noise. Therefore, reflective correlation imaging has more important research significance. It is the practical requirement of reflective light correlation imaging to develop a suitable light intensity information acquisition program and a fast and effective coincidence calculation method. This paper mainly focuses on the correlation imaging. Light intensity information collection and coincidence calculation method based on, The basic theory research of correlation imaging, the acquisition program of low-light-level CCD and the realization of coincidence algorithm are completed. The specific contents include: 1.The development of correlation imaging is summarized. In this paper, the development of CCD as a detector in accordance with calculation is analyzed. Based on the coherence of the thermal light field, the first-order coherence and second-order HBT correlation characteristics of the thermo-optical field are theoretically analyzed. The correlation characteristics of pseudo-thermal light used in the laboratory are emphatically discussed. The second order correlation characteristics of time and space are also the physical essence of thermo-optical correlation imaging. According to the HBT correlation of pseudo thermal light, the transverse coherent length of pseudo thermal light field is calculated by MATLAB programming. 3. The intensity of reflected light correlation imaging is relatively weak. In order to study the principle and performance of low light CCD (LLL) light intensity detector for correlation imaging in this paper, the principle and performance of INFINITY 3-1m low light level CCD are analyzed. In this paper, a fast acquisition program .4.The final and most important step of the correlation imaging system is to calculate the intensity of the light collected by the fast acquisition program of the low light level (LLL) CCD, which meets the requirements of the correlation imaging. Then the image of the object is obtained on the reference light path. In this paper, the development of coincidence measurement method for correlation imaging is systematically studied, and the algorithm of positive and negative fluctuation coincidence PNFC based on intensity fluctuation is analyzed. The processing process and theoretical basis of the algorithm are discussed in detail. The coincidence algorithm is implemented by using MATLAB, and 100% contrast HBT correlation and reflection light correlation imaging results are obtained.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN386.5

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