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The optical-flow aided navigation for the INS

The optical-flow aided navigation for the INS

MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Pan, Chao Liu, Jianguo Xiao, Wei State Key Laboratory for Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780819478061

The inertial navigation system (INS) is an efficient navigation method but it can occur accumulative errors. To correct this error in the INS, this paper presents a novel optical-flow aided navigation method by studying the terrain aided navigation, which can implement the continuous error estimation of the INS by employing the extended kalman filter that regards optical-flow as its measurement parameter. Therefore, this aided method is similar to the terrain aided navigation except that the measurement parameter and equation are both derived from optical-flow instead of terrain height. Experiments with some actual aerial image sequences have proven the efficiency of this aided navigation method. © 2009 Copyright SPIE - The International Society for optical Engineering.

关键词： Kalman filters

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Global systolic array for fast computation of 3-D moment invariants

Global systolic array for fast computation of 3-D moment inv...

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MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Liu, J.G. Chen, Shaobo Wang, Hai State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology WuHan HuBei 430074 China

ISBN: (纸本)9780819478085

The 3-D moment invariants are introduced to solve the problem of recognition of 3-D objects independent of size, position, and orientation. In this paper, based on our previous systolic array for fast computation of 3-D moment, we propose a new global systolic array for fast computation of 3-D moment invariants. The systolic sarray mostly consists of adders with area complexity O(n) and are highly regular and structurally very simple, resulting in simple hardware implementation. The method is suitable for both binary images and gray level images and is also suitable for image sequence moments. © 2009 Copyright SPIE - The International Society for optical Engineering.

关键词： Systolic arrays

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A novel algorithm for small dim target detection in distorted infrared image sequence

A novel algorithm for small dim target detection in distorte...

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MIPPR 2009 - Automatic Target recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Qu, Xiaolei Zuo, Zhengrong Li, Xiafeng Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multispectral Information Processing Technologies Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780819478061

A novel algorithm is proposed in this paper to detect dim moving point target with several pixels size in infrared image sequence, taken by line scan camera in high speed moving platform, with heavy background clutter and distortion. In the algorithm, the regional information of candidate points, which are extracted from the images after background suppression by spatial filter, is employed to track candidate points. After tracking candidate points, the velocity of every candidate points can be calculated easily, and false candidate points which are extracted from clutter background, can be find out by velocity classification and removed. Then, Double Hough Transform is applied on associating the remnant candidate points in multi-frame sequence to detect the target. The algorithm can get a high detection probability and reduce false alarm rate dramatically. © 2009 Copyright SPIE - The International Society for optical Engineering.

关键词： Hough transforms

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Extraction of non-uniform reflected laser lines based on multi-channel region constraint method

Extraction of non-uniform reflected laser lines based on mul...

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International Conference on information Science and Control Engineering (ICISCE)

作者： Shiyang Li Jinmeng Wu Yunfei Wang Jian Huang Pan Chen Guangya Wang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China

At present, the existing laser line extraction algorithms need to be in good lighting conditions to get better results. However, in practical application, due to the uneven illumination of the scene or the inconsistent reflection degree of the scanned object surface, the laser line extraction results will be greatly reduced. In some conditions, in order to improve the scanning efficiency, the grid laser line is used, but the grid laser is used Lines usually cause uneven distribution of laser lines. This paper proposes a method of extracting grid laser lines under the condition of non-uniform reflection. In the first step, the influence of global light can be eliminated using the difference between global illumination intensity and its first moment, and the image blocks can be classified using the average illumination intensity of local area to obtain the Region of interest (ROI). In the second step, a constrained region can be calculated by using edge gradient variance of local area and edge gradient maximization. In the third step, the center coordinates of sub-pixel laser line are finally obtained by combining the constrained region and illumination intensity map with Steger algorithm. The method used in this paper needs less empirical parameters to be set manually, and has a wider range of application. The accuracy of extraction is consistent with that of Steger algorithm. From the experimental results of this paper, we can see that we get more effective data, lower error rate and stronger robustness.

关键词： Laser theory information science Control engineering Error analysis Image edge detection Lighting Surface emitting lasers

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Fiber Bragg grating in seven core fiber fabricated with infrared femtosecond laser pulses and a phase mask

Fiber Bragg grating in seven core fiber fabricated with infr...

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International Conference on optical Communications and Networks (ICOCN)

作者： Shuhui Liu Shun Wang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China

Fibre Bragg grating (FBG) is inscribed into a seven core optical fibre by use of femtosecond laser side illumination. Multiple peaks in the reflection and transmission spectrum are observed, which result from the Bragg resonance of the core mode and cladding mode by phase match condition. The grating spectra exhibit linear response to rising temperature, and a sensitivity of 12 pm/°C is achieved between room temperature and 1000°C. Such a Bragg grating is promising to find applications in harsh environments.

关键词： Fiber gratings optical fibers optical fiber cables optical fiber networks Temperature sensors

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All Fiber Electric Field Sensor Based on Electrical Control of Liquid Crystal Photonic Crystal Fiber

All Fiber Electric Field Sensor Based on Electrical Control ...

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International Conference on Advanced Infocomm Technology (ICAIT)

作者： Zijie Wang Shuhui Liu Kaixin Zhao Shengguo Zhao Di Chen Zhengqing Shen Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China

ISBN: (数字)9798350391497

ISBN: (纸本)9798350391503

An electric field (E-field) sensor based on liquid crystal (LC) infiltrated photonic crystal fiber (PCF) is proposed and experimentally demonstrated in this paper. Liquid crystals (5CB nematic liquid crystals, NLC) are filled into the cladding air holes of a PCF. A photonic bandgap type waveguide is then formed. Applying an external E-field to the NLC-filled PCF changes the alignment of the LC molecules in the LC layer, which affects the edge wavelength of the photonic bandgap. The E-field sensitivity is about 157.51 nm/kV/mm in the range of 130 V to 220 V (0.65 kV/mm to 1.1 kV/mm). The sensor is lightweight, low-cost, sensitive, and stable, and can be widely used in industrial production.

关键词： optical fiber sensors Sensitivity Claddings Photonic band gap Wavelength measurement Photonic crystal fibers Size measurement Liquid crystals Electric fields optical fiber testing

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Applications of relative Raman intensity analyses

Applications of relative Raman intensity analyses

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第二十届全国光散射学术会议（CNCLS 20）

作者： Xiang-Bai Chen School of Science and Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology

Raman spectroscopy is a non-destructive and information rich technique which can provide detailed physical,chemical,and structural properties of investigated *** Raman analyses,studying the relative intensity ratios of characteristic Raman modes is more powerful than investigating the intensity of a particular mode,as it can provide more reliable and more detailed intrinsic information of the investigated *** this presentation,we discuss the applications of relative Raman intensity analyses for studying anomalous behaviors of spin wave scattering,quality screening of vegetable oil,and impurity influence on active center of *** the first part,the large asymmetry of anti-Stokes to Stokes intensity ratio of spin wave scattering is discussed for understanding the mechanism of spin wave and the manipulation of spin wave *** the second part,relative Raman intensity analyses is applied for possible quality evaluation of various types of edible vegetable *** the third part,it is discussed that relative Raman intensity analyses provides a simple method for quantitative measurement of impurity content in artemisinin,which can be a good alternative to the commonly applied high performance liquid chromatography method for measuring impurity content.

关键词： Relative Raman intensity analyses spin wave vegetable oil artemisinin

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Centerline Extraction of Line Structured Light in 3D Reconstruction

Centerline Extraction of Line Structured Light in 3D Reconst...

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2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)

作者： Ji Zhang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China

At present, 3D reconstruction of binocular vision is a hot topic in the field of computer vision, and the extraction of laser fringe centers in line structured light images is a crucial step. In order to obtain the feature point set between the images, it is necessary to extract the centerline of the linear structured light bands. Firstly, through image preprocessing, perform image stereo correction and image Gaussian filtering, and adaptive threshold segmentation algorithm is used to segment the stripe area of the line structured light, and the image thinning algorithm is used to extract the initial centerline of the line structured light. Finally, the point set is constructed and the initial centerline is optimized twice by the gray-scale centroid method, and the centerline of the linear structured light stripe is accurately extracted. The results show that, compared with the Steger algorithm and the skeleton thinning method, the proposed method extracts the centerlines of the linear structured light stripes with higher accuracy.

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Floquet engineering of the non-Hermitian skin effect in photonic waveguide arrays

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Physical Review A 2023年第5期107卷 053508-053508页

作者： Shaolin Ke Wanting Wen Dong Zhao Yang Wang Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan 430205 China School of Electronic and Information Engineering Hubei University of Science and Technology Xianning 437100 China

The non-Hermitian skin effect (NHSE), which involves an extensive number of bulk modes collapsing to open boundaries as skin modes, unveils a variety of unprecedented topological physics. However, achieving this effect in photonic waveguides has been challenging due to the difficulty of establishing the required non-Hermitian asymmetric couplings. Here, we investigate NHSE in photonic waveguide arrays via Floquet engineering. By periodically driving the waveguides along the propagation direction, we create an artificial gauge field (AGF) that interacts with on-site dissipation, yielding non-Hermitian asymmetric coupling and eventually giving rise to NHSE. The localization direction of NHSE is tunable by AGFs and can be detected from light propagation. In particular, we explore the interplay between NHSE and dynamical localization, whereby NHSE is suppressed by dynamical localization due to the collapse of quasienergies. Our proposed method can be extended to explore the non-Bloch Su-Schrieffer–Heeger model, with potential implications for steering light transport with the aid of NHSE.

关键词： Crystal phenomena Energy materials Energy transport Lattice dynamics Light-induced magnetic effects Localization Microstructure optical conductivity optical lattices & traps Optoelectronics Photoconductivity Photoinduced effect Photonics Superconducting gap Topological superconductors

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CTDPGAN:Infrared and Visible Image Fusion Using CNN-Transformer Dual-Process-Based Generative Adversarial Network

CTDPGAN:Infrared and Visible Image Fusion Using CNN-Transfor...

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第42届中国控制会议

作者： Cheng Zhang Xuan Li Yuhang Xu Jie Wang Rongfu Chen Hubei Key Laboratory of Optical Information and Pattern Recognition School of Electrical and Information Engineering Wuhan Institute of Technology

Most of the existing image fusion methods prefer to use the adversarial learning game to fuse infrared and visible ***,such single adversarial mechanism makes image fusion task easily ignore global contextual *** this end,this paper proposes a CNN-Transformer dual-process-based generative adversarial network(CTDPGAN) to fuse infrared and visible *** generator,a dual-process-based module composed by a CNN block and a Swin-Transformer block is *** channel filter and spatial filter in the CNN block has the ability to adaptively extract additional complementary information from images of various modalities while preserving the shallow features of the source *** Swin-Transformer Block(STRB) is designed to establish local attention by dividing non-overlapping windows and then to bridge global attention by interacting *** addition,we introduce generative adversarial learning networks into the training process,the dualchannel transformer discriminators are designed to improve the discriminative ability of the fused ***,the fused image learns the distribution of global contextual information from source images and retain competitive visible light and infrared domains in more balanced ***,we introduce the primary and auxiliary feature concepts into the structural similarity loss function and spatial frequency loss function,which will enable the generator to produce a fused image that retains thermal radiation information and rich detail ***,the experimental findings demonstrate that,in both subjective and objective assessments,our model produces outcomes that are equivalent to or superior compared to state-of-the-art image fusion methods.

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