检索结果-内蒙古大学图书馆

Infrared image super-resolution reconstruction based on residual fast fourier transform

Multimedia Tools and Applications 2025年第9期84卷 6805-6823页

作者： Li, Xianguo Liu, Rui Yang, Yanli School of Electronics and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin China

Infrared images have been widely used in military, civilian, and industrial fields. Due to the inherent limitations of sensors, infrared images usually have some disadvantages such as low resolution and blurred texture details. How to improve the resolution of infrared images without changing hardware devices has become a current research hotspot. Aiming at the problem that the existing infrared image super-resolution reconstruction methods do not utilize the image details sufficiently, this paper proposes an infrared image super-resolution reconstruction algorithm based on residual fast fourier transform(ISRRFT). The image features are extracted in both spatial domain and frequency domain, so as to fully extract the high-frequency and low-frequency information components of infrared images and improve the quality of reconstructed infrared images In addition, the learnable fast fourier transform loss function has been introduced, which is used in conjunction with the L1 loss function to calculate the loss from both the spatial and frequency domains, thus better optimizing the model parameters. The test results on three test sets, SR1280, IRData and Infrared20, show that the proposed algorithm has an optimal performance in terms of both objective and subjective evaluation metrics compared to current representative algorithms. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image reconstruction

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Shape recognition and size measurement of particles in hybrid particle field based on interference technology

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optoelectronics Letters 2024年第8期20卷 472-476页

作者： SUN Jinlu QIU Yue WU Yuhang ZHAO Dan MIAO Changyun Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin 300387China School of Electronic and Information Engineering Tiangong UniversityTianjin 300387China

An algorithm that can implement particle shape recognition and size measurement in hybrid particle field is *** on the defocused images obtained by the interferometric particle imaging(IPI)system,shape recognition of particles can be realized through Res ***-dimensional(2D)Fourier transform and 2D autocorrelation transform are used to obtain the size of spherical and non-spherical particles,*** shape and size of the particle in hybrid particle field are *** simulation and experiment results suggest that the method has good accuracy in measuring the particle size in hybrid particle field.

关键词： field particle size

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A Multimodal Approach for Prediction of Plastic Color Formulation with Transformers and Convolutional Networks 24

A Multimodal Approach for Prediction of Plastic Color Formul...

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13th International Conference on Computing and Pattern Recognition, ICCPR 2024

作者： Geng, Lei Sun, Huiyu Wang, Wen Xiao, Zhitao Zhang, Fang Liu, Yanbei School of Life Sciences Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin China

ISBN: (纸本)9798400717482

Color formulation prediction aims to get different target colors based on a specified color range. It was difficult for existing color matching methods to achieve accurate nonlinear mapping from target colors to formulations due to the overlook of the global and local features of color information. Global featuress represent the long-range variation trends of the input information, while local features represent the numerical characteristics of the input data. To address this issue, a novel feature extraction block based on Transformer and parallel convolutional neural network was proposed for the first time. By integrating this block with a color feature extractor after the fusion of color features, a multimodal color feature fusion network framework was constructed to comprehensively learn the nonlinear mapping between multi-modal inputs and formulations, formulation reflectance curves. This network framework achieved a total loss of 0.0421 and a formulation loss of 0.0391 on test set, indicating more accurate color formula predictions. © 2024 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

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Automatic Segmentation of Diabetic Macular Edemas and ILM-RPE Layers in Retinal OCT Images Based on MFANet 23

Automatic Segmentation of Diabetic Macular Edemas and ILM-RP...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Liu, Shuang Wu, Jun Xiao, Zhitao Geng, Lei Zhang, Fang School of Electronics and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System TianGong University Tianjin300387 China School of Life Sciences Tianjin Key Laboratory of Optoelectronic Detection Technology and System TianGong University Tianjin300387 China

ISBN: (纸本)9781450399029

Aiming at the problems of blurred boundary and low segmentation accuracy of existing retinal OCT image segmentation methods, this paper designs a MFANet semantic segmentation model based on encode-decoder for the purpose of accurate segmentation of diabetic macular edemas and ILM-RPE layers, and proposes an automatic retinal OCT image segmentation method based on this model. This method takes the DeepLabV3+ network as the main body and improves the dilated convolution part, which can fully extract the multiscale features of the lesions and obtain a large enough receptive field to effectively balance the local and global information of the retina;the decoder increases the attention feature integration module, reduces information reduction and enlarges the global dimension interaction feature. The introduced global attention effectively strengthens the model’s learning of important features of retinal image. The experimental results show that the proposed method has better segmentation effect than the existing methods, and the MIoU reaches 85.82%. It can extract the macular edema regions quickly and accurately, identify the boundary information better, and provide a quantitative analysis tool for clinical diagnosis and treatment. © 2023 Copyright held by the owner/author(s).

关键词： Semantic Segmentation

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Resin-Based Dielectric Terahertz Metalens and Applications

Resin-Based Dielectric Terahertz Metalens and Applications

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2023 Cross Strait Radio Science and Wireless technology Conference, CSRSWTC 2023

作者： Shi, Jia Wang, Guanlong Xu, Cong School of Electronic and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin300387 China

ISBN: (纸本)9798350358971

All-dielectric metalenses have become a research hotspot because of their high-efficiency and customizable features. Here, a resin-based dielectric metalens is designed by two-dimensional circumferential metagrating arrays for terahertz imaging beyond classical physical diffraction limit. The metalens is fabricated with UV -sensitive resin by a photo curing 3D printer. With the proposed scheme, the terahertz beam can be focused as a filamentous focal spot in sub-wavelength scale with a long depth of focus. As its demonstration in terahertz imaging applications, the printed transmission lines on the PCB board can be clearly imaged. The proposed metalens shows great potential in high-resolution 6G terahertz spatial sensing and imaging. © 2023 IEEE.

关键词： metagrating metalens THz imaging

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Label-Free Evaluation of Treatment Efficacy in Laser Therapy by Terahertz Imaging

Label-Free Evaluation of Treatment Efficacy in Laser Therapy...

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2023 Cross Strait Radio Science and Wireless technology Conference, CSRSWTC 2023

作者： Xu, Cong Wang, Guanlong Shi, Jia School of Electronic and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin300387 China

ISBN: (纸本)9798350358971

Low-level laser therapy (LLLT) is a promising non-invasive treatment method in biomedical science. Rapid and high-sensitivity imaging evaluation of treatment efficacy in LLLT always remains changeling. To address this issue, here the confocal terahertz imaging is used to label-free evaluation of treatment efficacy in LLLT on ALI. The results show that terahertz imaging can effectively evaluate the therapeutic effect of LLLT on ALI with the advantages of high sensitivity. © 2023 IEEE.

关键词： label-free Low-level laser therapy (LLLT) THz imaging

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Research on Improving Wavelet Thresholding Method for Noise Reduction of Current Ripples in Motors

Research on Improving Wavelet Thresholding Method for Noise ...

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International Conference of Electrical, Electronic and Networked Energy systems, EENES 2024

作者： Qin, Xu Wang, Wei School of Electronic and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin China Engineering Research Center of Ministry of Education for High Power Semiconductor Lighting Application System Tianjin China

ISBN: (纸本)9789819620456

The vigorous development of new energy vehicles has brought new opportunities and challenges to related industries. In order to gain greater competitive advantages, major automobile manufacturers have begun to focus on using motor current ripple signals directly to achieve various functions in a cheaper and more integrated way. However, the current ripple signal generated when the motor rotates is mixed with a lot of noise. If it is to be put into practical application, it needs to be denoised first, such as the improved wavelet threshold denoising method studied in this paper. First, the denoising principle and the shortcomings of the traditional method are introduced, and the design of the improved method is given on this basis. Subsequently, verification is conducted using simulated signals and actual current ripple signals, with SNR (Signal to Noise Ratio) and RMSE (Root Mean Square Error) used as quantitative evaluation criteria for comparing and analyzing the results. Finally, the experiments have confirmed that the improved threshold method proposed in this paper outperforms traditional methods in noise removal, proving its significance and value for further research. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Noise abatement

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Improved ADRC PMSM Control system Based on Compensation Function Observer

Improved ADRC PMSM Control System Based on Compensation Func...

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International Conference of Electrical, Electronic and Networked Energy systems, EENES 2024

作者： Wu, Chuangyi Wang, Wei School of Electronic and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin China Engineering Research Center of Ministry of Education for High Power Semiconductor Lighting Application System Tianjin China

ISBN: (纸本)9789819620791

The Adaptive Disturbance Rejection Control (ADRC) is widely used in nonlinear systems such as Permanent Magnet Synchronous Motors (PMSM) due to its adaptability, strong robustness, and ease of implementation. However, traditional ADRC performs poorly in high-order nonlinear systems, as its performance mainly depends on the nonlinear function representing the total disturbance. To address this issue, this paper proposes an improved ADRC based on the Compensation Function Observer (CFO). The CFO belongs to the type III system, exhibiting significantly improved signal processing performance compared to the type I Extended State Observer (ESO), and it can attenuate the influence of the nonlinear function in the compensation stage. Additionally, in order to alleviate the difficulty of parameter tuning in ADRC, fuzzy control is introduced in the error feedback loop. The feasibility of the proposed method is verified by establishing a Matlab/Simulink simulation model. The simulation results demonstrate that, compared to traditional ADRC, the new ADRC exhibits better response speed and disturbance rejection for common signals. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： MATLAB

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Analysis of particle scattering characteristics with different transparency based on interferometric particle imaging 15

Analysis of particle scattering characteristics with differe...

引用

15th International Conference on Information Optics and Photonics, CIOP 2024

作者： Sun, Jinlu Wang, Xiaoyang Song, Xiaomin Guo, Zhicheng Chu, Yunpeng Chen, Yiyao Li, Yuqiang Zhang, Cheng Shi, Jia Miao, Changyun School of Electronic and Information Engineering Tiangong University Tianjin300387 China Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin300387 China Life and Health Intelligent Research Institute Tianjin University of Technology Tianjin300384 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

The scattering characteristics of particles with different transparency are investigated using interferometric particle imaging. Based on optical transfer matrix theory, the interference defocusing images formed by different number of emitting points are simulated. We found that the speckle frequency of the defocusing image will increase when the number of the emitting points increases. The microscopic and interference images of polystyrene, cell and sand particles are obtained and proved that the lower the transparency of the particle, the higher the speckle frequency of the defocusing image. The experimental results showed agreement with the simulation results. This conclusion can be used to judge the transparency of particles and to distinguish particles in mixed particle field. © 2024 SPIE.

关键词： Speckle

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Region Segmentation of Retina OCT Image Layer Based on MS-UNet 22

Region Segmentation of Retina OCT Image Layer Based on MS-UN...

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8th International Conference on Computing and Artificial Intelligence, ICCAI 2022

作者： Wu, Jun Liu, Shuang Xiao, Zhitao Zhang, Fang Geng, Lei School of Electronics and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System TianGong University Tianjin300387 China School of Life Sciences Tianjin Key Laboratory of Optoelectronic Detection Technology and System TianGong University Tianjin300387 China

ISBN: (纸本)9781450396110

The accurate segmentation of the retinal layer is a key link in the analysis of retinal OCT images. If the various tissue layers of the retina can be accurately segmented from the OCT image, it will help doctors make a more accurate and rapid diagnosis. Aiming at the high complexity of the features of each layer of the retinal OCT image and the low accuracy of the existing segmentation methods, this paper designs an improved U-Net model, MS-UNet (Multiscale Skip-UNet), which realizes the precise segmentation of seven retinal layers. To prevent problems such as over-fitting and gradient dispersion, this method uses the residual structure of deep over-parameterized convolution for feature extraction firstly. Then uses the multiscale skip structure to introduce global context information, and performs edge contour maintenance operations on the feature tensor. Finally, through a series of upsampling operations, the effective segmentation of each layer region is achieved. The experimental results proved that the method proposed in this paper improves MIoU by 1.39% compared with the method based on the original U-Net model. Compared with other semantic segmentation methods, this method effectively avoids the problems of layer edge blur and loss of details and has better segmentation performance. © 2022 ACM.

关键词： Semantic Segmentation

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