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2022 International Conference on Artificial Intelligence and Computer information Technology, AICIT 2022

作者： Wang, Pengtian Zhang, Haibo Lv, Qiwen Zhao, Shuwei Wang, Lei Wuhan Institute of Technology Hubei Key Laboratory of Optical Information and Pattern Recognition China

ISBN: (数字)9781665450874

ISBN: (纸本)9781665450874

Synthetic aperture radar (SAR) image water extraction has important research significance in water resources monitoring and other applications. In SAR images, the scattering properties of some land cover types with low backscattering coefficients, such as broad roads and mountain shadows, are very close to the scattering properties of water. Most water extraction methods are easy to identify those false water targets as water. Meanwhile, the water area in the scene is very small, and the proportion of water and background in the training concentration is extremely unbalanced. The imbalance of water samples affects the water extraction performance. Traditional machine learning water extraction methods require manual extraction of effective features, which are time-consuming and inefficient. Therefore, we decided to introduce the deep learning-based salient object detection network Pool-Net into SRA image water extraction. To overcome the effect of class imbalance, we introduce the focus loss function into the Pool-Net network. Experimental results show that the proposed method achieves good water extraction results on water class imbalanced SAR images. The water extraction accuracy of the proposed method is 2& higher than Pool-Net and also surpasses some well-known image segmentation methods. © 2022 IEEE.

关键词： Synthetic aperture radar

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Extraction of non-uniform reflected laser lines based on multi-channel region constraint method 7

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

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7th International Conference on information Science and Control Engineering, ICISCE 2020

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

ISBN: (纸本)9781728164069

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. © 2020 IEEE.

关键词： Extraction

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Fine-grained Visual Classification by Progressive Training via Jigsaw Puzzle Permutation Learning 6

Fine-grained Visual Classification by Progressive Training v...

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6th International Conference on Communication, Image and Signal Processings, CCISP 2021

作者： Ma, Lei Zhao, Fan Hong, Hanyu Wu, Jinmeng Shi, Yu Li, Xuan Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9781665432795

Fine-grained visual classification remains a challenging task due to small inter-class differences and large intra-class differences. Existing methods consider only local details of information or only global information at a certain stage. However, there methods do not consider the complementary relationship between local information of different granularity and global information of the overall object on the feature maps of different stages of the network. To solve the above problem, we propose a Progressively Trained Jigsaw Puzzle Permutation Learning network (PPL-Net). To obtain the local details of the object, we adopt a progressive training strategy to obtain the semantic information of the object. At different steps, we use different granularity of shuffled versions of the images as input. Then, the classification prediction is performed by fusing the feature representations of different granularities. We obtain the global information of the object by learning jigsaw puzzle visual permutation. Specifically, by introducing the Jigsaw Puzzle Solver module we explore the location information of the different granularity image patches. Recovery of the shuffled version of the image to the original image. Thus, at each step of the network, we supervise the network by complementary relationships between local information of different granularities and global information of the object. Experiments on three standard fine-grained classification datasets (CUB-200-2011, Stanford Cars, FGCV-Aircraft) show that the performance of our method exceeds that of most methods. The code will be available at https://***/Zhao-fan/PPL-Net. © 2021 IEEE

关键词： Semantics

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Optimal exposure selection of high dynamic range-based reflection compensation for printed circuit board reconstruction using structured light 3D measurement system 12

Optimal exposure selection of high dynamic range-based refle...

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SPIE 12th International Symposium on Multispectral Image Processing and pattern recognition, MIPPR 2023

作者： Wang, He Zhu, Ying Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

Structured light (SL) scanning in industrial metrology offers the advantages of non-contact measurement, high-speed operation, and high precision. However, fringes may exhibit excessive modulation when measuring highly reflective metal parts, leading to the calculation of invalid phases and the reconstruction of abnormal point clouds. High dynamic range (HDR) scanning is a commonly used approach to address this issue, but the optimal exposure time using this method is usually influenced by the reflective properties of the object. In this paper, we propose an optimal exposure time selection method based on the clustering of images in the fringe modulation. Firstly, we acquire modulation degree images containing only objects. Subsequently, the K-Means method is employed to cluster the modulation degree images. The K best exposure times are calculated based on the average maximum gray value of the fringe images in each cluster. Finally, K sets of fused fringe images are captured and utilized to reconstruct three-dimensional (3D) information with enhanced coverage. Using our method, the three-dimensional information of the printed circuit board (PCB) is reconstructed, achieving an improved coverage rate of 98.1% compared to the 88.3% coverage rate obtained from a single-shot capture. Additionally, our method achieves a measurement accuracy of 0.08mm. Experimental results demonstrate that the proposed method efficiently selects the optimal fusion exposure time, making it suitable for measuring highly reflective PCBs. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Image enhancement

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Automatic Docking Design of Flange Pipe Based on Spatial information 7

Automatic Docking Design of Flange Pipe Based on Spatial Inf...

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7th International Conference on information Science and Control Engineering, ICISCE 2020

作者： Li, Xingxun Zhang, Xiuhua Wu, Jinmeng Huang, Jian Chen, Pianpian Wuhan Institute of Technology Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan China

ISBN: (纸本)9781728164069

With the development of ship industry, pipeline system has been more and more widely used. However, the pipeline site space is narrow. Mechanical and electrical equipments are of all kinds. The pipeline cable is densely distributed. All problems mentioned above seriously affects the pipeline construction. In order to solve the problem of pipeline docking, the method of making model and comprehensive lofting is usually adopted. However, this method is technically backward. The operation is inconvenient due to the narrow onsite space. The required period is long. With low information utilization and accuracy, the method of making model and comprehensive lofting has a great influence on the development cycle and design quality. In order to solve these problems, this paper presents a design method and system of flange pipe docking. A binocular camera is used to obtain the image of the pipe joint. The center position of the flange surface and array holes on the flange surface are extracted from the image, which is bias of subsequent work. First, the path of the intermediate connecting pipe is calculated. Then, according to the pipe standards of intermediate connection pipe and production specification of enterprise, the model of intermediate connecting pipe is automatically generated by using secondary development technology of CAD. In this paper, the binocular vision technology is combined with pipeline docking design, which significantly improves the utilization rate of field space information and design efficiency, and solves the problems of inconvenient operation and safety risk of traditional profiling method. © 2020 IEEE.

关键词： Flanges

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Centerline Extraction of Line Structured Light in 3D Reconstruction 7

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

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

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

ISBN: (纸本)9798350382877

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. © 2023 IEEE.

关键词： Binocular vision

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Comparison study of laser vibration measurement and quantum vibration measurement 13

Comparison study of laser vibration measurement and quantum ...

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13th International Conference on Wireless Communications and Signal Processing, WCSP 2021

作者： Zhang, Chi Yang, Zi-Xiang Wang, Shun Jin, Rui-Bo Wuhan Institute of Technology Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan China

ISBN: (纸本)9781665407854

Vibration measurement plays an important role in the process of industrial production. How to measure the vibration with a high resolution is an important topic for the study of traditional laser Doppler vibrometers. With the development of quantum technology, it is possible to improve the measurement resolution to a higher level using the quantum entangled state. In this article, we built an experimental setup and measured a vibration source using a classical laser Doppler vibrometer. We also proposed an experimental scheme for quantum vibrometer using the NOON state. We compared the advantages and disadvantages of both schemes. As far as we know, this is the first quantum Doppler vibrometer scheme so far. © 2021 IEEE.

关键词： Vibration measurement

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Infrared Image Generation Algorithm Based on GAN and contrastive learning

Infrared Image Generation Algorithm Based on GAN and contras...

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2022 International Conference on Artificial Intelligence and Computer information Technology, AICIT 2022

作者： Liu, Hong Ma, Lei Wuhan Institute of Technology Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan China

ISBN: (数字)9781665450874

ISBN: (纸本)9781665450874

For the task of converting dimly lit, low luminance nighttime visible to infrared images, we propose a Contrastive Visible-Infrared Image Translation Network (CVIIT). To better distinguish and translate objects such as pedestrians and vehicles, we introduce an attention module based on class activation map in the generator and discriminator of the Generative Adversarial Network (GAN), which captures richer context information in the images. In addition, we introduce contrastive learning to align the generated images with the visible images in terms of content. Qualitative and quantitative experiments on a publicly available visible-Infrared image pairing dataset (LLVIP) show that the proposed method generates infrared images of significantly higher quality than other state-of-the-art image-to-image translation (I2IT) methods. © 2022 IEEE.

关键词： Generative adversarial networks

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Compact optical fiber laser frequency comb based on acetylene-filled photonic microcell

Compact optical fiber laser frequency comb based on acetylen...

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2024 Conference on Spectral Technology and Applications, CSTA 2024

作者： Li, Kangqiao Chen, Qingqing Gao, Yanwei Wu, Shun Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan430205 China

ISBN: (纸本)9781510683082

We demonstrated a compact optical fiber frequency comb stabilized to an acetylene-filled photonic microcell. The erbium fiber oscillator with 109 MHz repetition frequency achieved self-start, and days of stable mode-locking based on a figure-9 configuration. The laser was assembled into a 270 × 280 × 45 mm3 box with precise temperature-control around 25 ℃. The CW reference was stabilized to an acetylene-filled hollow-core photonic crystal fiber (HC-PCF) in a sealed box with dimensions of 385 ×260 ×86 mm3. The 19-cell HC-PCF has a core diameter of 30 μm and length of 3.9m filled with 100 ~ 200 mTorr (13.3 ~ 26.7 Pa) acetylene gas. A sub-Doppler absorption feature of P(13) line from the v1+v3 overtone transition was obtained based on saturated absorption spectroscopy. The optimized sub-Doppler feature had a narrow linewidth of 16 MHz and a signal-to-noise ratio (SNR) of ~ 40. The short-term fractional instability of fr was 3.47 ×10-12 at 1 s gate time, and 1.81 ×10-13 at 100 s gate time, with a standard deviation of 0.3 mHz. The RF beatnote (fb) exhibited a fractional instability of 1.53 ×10-11 at 1 s gate time for a four-hour measurement in laboratory environment. The overall size of the comb system is expected to be 443 × 270 × 131 mm3 including all the locking electronics. Our approach of acetylene-stabilized fiber comb offers a feasible solution to help fiber combs move from laboratory to outdoors applications such as fiber sensing, laser stabilization and spectrum analysis. © 2024 SPIE.

关键词： Fiber lasers

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Extracting the phase distribution of the electron wave packet ionized by an elliptically polarized laser pulse

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Frontiers of physics 2021年第3期16卷 185-192页

作者： Ya-Nan Qin Min Li Yudi Feng Siqiang Luo Yueming Zhou Peixiang Lu Wuhan National Laboratory for Optoelectronics and School of Physics Huazhong University of Science and TechnologyWuhan430074China Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of TechnologyWuhan430205China

We use an interferometic scheme to extract the phase distribution of the electron wave packet from above-threshold ionization in elliptically polarized laser *** this scheme,an electron wave packet released from a circularly polarized laser pulse acts as a reference wave and interferes with the electron wave packet ionized by a time-delayed counter-rotating elliptically polarized laser *** generated vortex-shaped interference pattern in the photoelectron momentum distribution enables us to extract the phase distribution of the electron wave packet in the elliptically polarized laser pulse with high *** artificially screening the ionic potential at different ranges when solving the time-dependent Schördinger equation,we find that the angle-dependent phase distribution of the electron wave packet in the elliptically polarized laser field shows an obvious angular shift as compared to the strong-field approximation,whose value is the same as the attoclock *** also show that the amplitude of the angle-dependent phase distribution is sensitive to the ellipticity of the laser pulse,providing an alternative way to precisely calibrate the laser ellipticity in the attoclock measurement.

关键词： above-threshold ionization photoelectron interference vortex structure

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