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Table of Content

    15 January 2016, Volume 34 Issue 1
    2016, 34(1):  0-0. 
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    2016, 34(1):  1-4. 
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    Advances in Measurement of Optical Central Thickness by Low Coherence Interferometry
    TAN Zehao, FENG Yunpeng, WANG Zhong
    2016, 34(1):  5-14.  DOI: 10.7517/j.issn.1674-0475.2016.01.005
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    With the advantages of high accuracy and fast speed,low coherence interferometry has broad prospects on non-contact measurement of optical system and biomedical imaging. By overviewing the important advances in simultaneous measurement of central thickness in lens system and describing the research status on biomedical imaging with OCT,we compare multiple research methods of low coherence interferometry by analyzing their innovation and finally prospect its development trend on new fields and improvements.

    The Self-calibration Technology of Camera Intrinsic Parameters Calibration Methods
    ZHANG Jiyou, WANG Dongjie, MA Lina
    2016, 34(1):  15-22.  DOI: 10.7517/j.issn.1674-0475.2016.01.015
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    Camera self-calibration technology is a camera calibration that only use the images of surroundings and the relative relationships of images but not relying on the calibrating reference. Self-calibration only needs to match the points on images. The method is very flexible and has a wide application range. We introduced the basic principles and arithmetic of self-calibration, and introduced the research condition of inland and foreign with the calibration results. At last, we approached the key technologies of self-calibration methods.

    Development and Application of Digital Holographic Microscopy in Biomedicine
    WU Yumin, SONG Guoqing, FENG Yunpeng, WANG Zhong
    2016, 34(1):  23-29.  DOI: 10.7517/j.issn.1674-0475.2016.01.023
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    In recent years, with the rapid development of optoelectronic imaging devices such as CCD and computer technology, digital holographic microscopy technology has been developed, which has been widely used in the field of biomedicine with the characteristics of no-contact, quantitative, three-dimensional imaging.The development of digital holographic microscopy is reviewed.The advantages and disadvantages of digital holographic microscopy and other techniques are compared.From the point of view of light source, the important influence of different light source on digital holographic microscopy imaging and the corresponding algorithm are discussed.The latest applications of digital holographic microscopy in biomedicine are enumerated.

    Application of Machine Vision in Optical Manufacturing and Testing
    SONG Guoqing, WU Yumin, FENG Yunpeng, LIU Jingwei
    2016, 34(1):  30-35.  DOI: 10.7517/j.issn.1674-0475.2016.01.030
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    With the rapid development of automation and control field, machine vision technology is getting mature and wins more and more applications in various domains. Through image information processing, machine vision systems use machines instead of human eyes to do all kinds of measurement and judgment. The concept of machine vision and the configuration of a typical machine vision system have been briefly introduced in this review, and the development of the key techniques in machine vision techniques have also been explained. The application of the machine vision in the field of optical manufacturing and testing have been analyzed in detail, especially in the application of automatic polishing processing. The prospects for further development of machine vision in the field of optical manufacturing and testing are presented.

    Freeform Surface Design for a LED Based Collimating Lens
    ZHANG Qiaosong, XU Chunyun, CHENG Haobo, TAM Hon Yuen
    2016, 34(1):  36-42.  DOI: 10.7517/j.issn.1674-0475.2016.01.036
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    A freeform collimating lens is designed based on a single lighting emitting diode (LED) to achieve collimated lightbeam. According to the principle of geometric optics, the method does not need solve the complex partial differential equations which is simple.The collimating lens consists of an inner freeform refractive surface, a part of spherical surface, a total internal reflection and a flat plane surface. The discrete points of freeform surface profile curve are calculated by Matlab and fitted the points to the three-dimensional entity model by Solidworks. In order to investigate the effect of LED light source size to collimating lens flare image, non-sequential ray trace is analyzed by Tracepro software. Computer simulation results show that an optical efficiency of 86.258% and a semi-view-angle of 3.3° is achieved for a 1 mm LED.

    Continuous Observation Oriented Application Mode Design and Analysis for Geostationary-orbit High-resolution Optical Imaging Satellites
    KONG Xianghao, LI Xiang, CHEN Zhuoyi, YANG Hua, LI Guo
    2016, 34(1):  43-50.  DOI: 10.7517/j.issn.1674-0475.2016.01.043
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    In order to take full advantage of high-resolution optical imaging satellites in geostationary orbit for the seek of continuous earth observation, one integrated application mode is proposed based on the analysis of the satellite features of orbit and imaging. The proposed mode takes the regular application and incident application into full consideration and plans 5 detailed application modes to make full use of the rapid response speed, short revisit period and high flexible position of the geostationary orbit satellite. The application modes and analysis results are given in detail, which can be used as the evidence for the geostationary-orbit high-resolution optical imaging satellite application fields.

    The Research of the Small UAV Fast Optimal Video Stabilization
    ZHENG Hongyun, ZHAO Hongying, WEI Yunpeng, XIN Tiantian
    2016, 34(1):  51-58.  DOI: 10.7517/j.issn.1674-0475.2016.01.051
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    The electronic image stabilization of Unmanned Air Vehicle (UAV) video can correct the shaking motions, disorienting rotations, noisy and distorted images and other unwanted effects. It will benefit the target tracking and precision strike, and also help observers to obtain useful information. Electronic video stabilization generally contains three main steps, global motion analysis, intentional motion estimation and motion compensation. This paper mainly researches the intentional motion estimation, and presents a method of fast optimal video stabilization. This method can estimate the intentional motion of UAV video fast and accurately. This method combine the accuracy in L1 optimization method and the fast speed in Kalman filtering method, solve the hysteresis problem of Kalman filtering method and the unreal-time processing problem of L1 optimization, and achieve the better effect. At last, the method proposed in this paper was carried out and validated by actual airborne videos. The results show that the proposed method can improve the accuracy of Kalman filtering method, and its efficiency is higher than L1 optimization method.

    The Research of Extracting and Matching Pre-earthquake Contour Based on Android Platform
    SU Linlin, GUAN Guixia, ZHAO Haimeng, TAN Xiang, XU Zhenliang, LÜ Shuqiang, MA Ainai, YAN Lei
    2016, 34(1):  59-67.  DOI: 10.7517/j.issn.1674-0475.2016.01.059
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    The research on pre-earthquake cloud is limited to visual interpretation, and it hasn't form a unified scientific theory. Pointed to this situation, and combined with the popular portable Android platform, the idea of extracting and matching pre-earthquake contour based on Android platform is proposed. Firstly,an improved mathematical morphology is used to extractpre-earthquake cloud contour. And then,10 new invariant moments of original image and reference image are calculated by using an improved Hu moments algorithm. Finally, match results are obtained to recognize the pre-earthquake cloud. The algorithms is realized on Android platform, it uses C++ language and calls OpenCV library functions through Native Development Kit (NDK) and Java Native Interface (JNI). The result shows the method can well realize pre-earthquake cloud recognition under time series. It is easy to operate on Android device, and can make foundation for deep research on pre-earthquake cloud.

    Comparison of Pre-magnification Digital Holography as CCD Located in Front of Image-plane and Behind the Plane
    ZHAO Baoqun, LI Junxiang, JIANG Xianan, ZHU Qiaofen
    2016, 34(1):  68-74.  DOI: 10.7517/j.issn.1674-0475.2016.01.068
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    Based on Fresnel diffraction formula and linear system theory, the imaging process of pre-magnification digital holography as CCD located in front of image-plane and behind the plane is analyzed. The point spread functions of the two systems are derived. Then the lateral resolution of the systems are analyzed. The imaging performance of the two systems are compared. Experiments are carried out using a resolution test target.

    Study on Interferometric Phase Retrieval Based on Image Processing
    CHEN Xin, JING Xiaoli, CHENG Haobo, TAM Hon Yuen
    2016, 34(1):  75-81.  DOI: 10.7517/j.issn.1674-0475.2016.01.075
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    With the development of computer technology and photo-electronic imaging devices, the image information processing technology has been fully developed, which widely used in such as nondestructive testing, medical testing and interferometry.This paper mainly focuses on the wavefront phase extraction method of interferometry images. The fringe carries the information of interferometry images, thus a new phase reconstruction algorithm of single closed interferometry fringe image based on imaging processing is proposed. On the basis of space carre algorithm, we use iterative correction method to search for the accurate phase of single close fringe. The result of Matlab simulation is that the phase residual after iterative correction was reduced by 25.8%, proving that the new algorithm contains all the advantages of space carre algorithm besides high demodulation precision.

    Fast Haze Removal for Real-time Image and Video
    WANG Xin, SUN Yingying, LI Yingfang
    2016, 34(1):  82-87.  DOI: 10.7517/j.issn.1674-0475.2016.01.082
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    Outdoor image often lose visibility and contrast due to the presence of haze. To effectively enhance the degraded haze image, we can get clear image by enhancing haze image's contrast. However, the excessive enhancement of the degraded contrast may truncate pixel values and cause information loss. Therefore, we proposed a fast and optimized dehazing algorithm based on information loss. By minimizing the information loss, the output image not only has high contrast but also has very little information loss. Moreover, we convert RGB color space into YUV color space, and only process the luminance component. This greatly improves the computational speed, thus suitable for processing video sequence. The contrast experimental results show that the proposed algorithm can effectively remove haze and the computing speed is fast, which can fully meet the real-time requirement for the removal of video haze.

    Research on Subaperture Stitching Algorithm Based on Image Processing
    ZOU Kaixuan, FENG Yunpeng, WANG Zhong
    2016, 34(1):  88-94.  DOI: 10.7517/j.issn.1674-0475.2016.01.088
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    Image information transferred from large diameter telescope is an important means for people to know and understand the universe. The resolution of large diameter telescope system is determined by the quality of surface profile. This paper describes a method for detecting large aperture surface profile of optical element, namely stitching detection methods. First surface data of each subaperture is got from the detected element, respectively. Then image processing algorithm is used to reconstruct the surface shape information. The face profile of a parabolic component is reconstructed by using stitching algorithm with MATLAB software. Digital image processing and three-dimensional visual image method are presented to improve the accuracy of surface profile detection. Finally, for the surface shape image processing, algorithms were made after spliced prospect. The considerations for further stitching algorithm are prospected, which put forward new challenges for sequential studies.

    Eye State in Drive Fatigue Detection Based on Sparse Representation
    WANG Dongmei, FENG Cai, WANG Haipeng, YU Weibo
    2016, 34(1):  95-101.  DOI: 10.7517/j.issn.1674-0475.2016.01.095
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    In this paper, we proposed an eyes state in driver fatigue recognition algorithm based on sparse representation in order to solve the problems that in traditional contact detection, just like affect driver, low recognition rate, etc. First,construct a complete redundant dictionary to training set using K-SVD method and sparse representation the test images employing orthogonal matching pursuit method. Then determine the error between the test images and the reconstructed images. At last,determine the type of test images and judge the state of test images. And contrast the K-SVD to the other dictionary learning methods and sparse representation methods, the experimental results showedthat the K-SVD algorithm combined with OMP obtained better recognition effect.

    2D Cross Correlation Method in Elastography Based on Weighted Phase Separation
    CUI Yakun, JIAO Yang, LÜ Tiejun, GU Tianming, CUI Xiaoyao
    2016, 34(1):  102-110.  DOI: 10.7517/j.issn.1674-0475.2016.01.102
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    Elastography is an imaging method which is able to display the distribution of elastic properties of soft tissue, and provide valuable diagnostic information. In this paper, we compared 1D motion estimation with 2D motion estimation for elastography and present a framework combined with weighted phase separation (WPS) and 2D cross-correlation for displacement estimation. 2D cross-correlation was first applied to the RF signals and then used WPS method to calculate a more precision axial displacements. We also compared the images qualities and efficiency of 1D algorithm and 2D algorithm by simulations and phantom experiments. It is shown that our method is fast and robust to relatively complex tissue motions and could improve SNRe. This method will have some poetical for the latter experiments and clinical applications.

    The Research of Optical Lens Based on Metallic Nano-slits Array with Geometric Surface
    SHI Zhixiang, ZHAO Baoqun, LIAO Wei, ZHU Qiaofen
    2016, 34(1):  111-115.  DOI: 10.7517/j.issn.1674-0475.2016.01.111
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    The optical lens of metallic nano-slits array is a kind of nano optical device, which can break through the diffraction limit and control the beam. It is a key problem of this kind of devices to practical application, to design the metallic nano-slits array with a certain function fast, efficient and with large nano-slits size which can be facilitate to process. In this paper, a new kind of method is presented to design the metallic nano-slits array, which can control the beam. It is to design the geometric surface of the structure, which can fast, efficient design the lens. The lens we have designed with large nano-slit, 80 nm, can be facilitate to process. It will accelerate the practical application of nano photonic devices.

    A New Improved Canny Image Edge Detection Algorithm
    WU Xiang, YU Weibo, MA Yanhui, LIU Keping
    2016, 34(1):  116-121.  DOI: 10.7517/j.issn.1674-0475.2016.01.116
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    A new adaptive Canny operator is proposed which aimed the image edge areas effect when traditional Canny operator under Gaussian smooth and the shortcomings of threshold level pre-set. Firstly, the adaptive median filtering is adopted to process it; secondly, adding the 45° and 135° direction of gradient template to calculate gradient amplitude; finally, using the Otsu algorithm to calculate the gradient amplitude operation get images of high and low threshold value. The experiment results show that the improved Canny algorithm has good anti-noise performance, and can accurately detect the edge information.