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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

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3rd International conference on Information Technologies and Intelligent Decision Making systems, ITIDMS 2023

3rd International Conference on Information Technologies and...

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3rd International conference on Information Technologies and Intelligent Decision Making systems, ITIDMS 2023

ISBN: (纸本)9783031603174

The proceedings contain 18 papers. The special focus in this conference is on Information Technologies and Intelligent Decision Making systems. The topics include: Comparative Analysis of Traditional Machine Learning Approaches for Time Series Clustering Under Colored Noise;on the Open Transport Data Analysis Platform;investigation of the Characteristics of a Frequency Diversity Array Antenna;comparative Analysis of Fuzzy Controllers in a Truck Cruise Control System;implementation of a Blockchain-Based Software Tool to Verify the Authenticity of Paper Documents;development of Methods and algorithms for Dimension Reduction of Space Description for Pattern Recognition Problem;service for Checking Students’ Written Work Using a Neural Network;implementing a Jenkins Plugin to Visualize Continuous Integration Pipelines;elimination of Optical Distortions Arising from In Vivo Investigation of the Mouse Brain;quantum Fourier Transform in image processing;choosing an Information Protection Mechanism Based on the Discrete Programming Method;application of Machine Learning Methods for Annotating Boundaries of Meshes of Perineuronal Nets;diagnostics of Animals Diseases Based on the Principles of Neutrosophic Sets and Sugeno Fuzzy Inference;the Technique of processing Non-Gaussian Data Based on Artificial Intelligence;development of Automation and Control System of Waste Gas Production Process Based on Information Technology;machine Learning and Data Mining.

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Parameters Optimization of Dynamic CT Pulmonary Perfusion Imaging Analysis Technology Based on Artificial Intelligence

Parameters Optimization of Dynamic CT Pulmonary Perfusion Im...

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2023 International conference on Integrated Intelligence and Communication systems, ICIICS 2023

作者： Li, Chuangui Liu, xiaocheng Zhang, xinhui Zhou, Guijuan Zhu, Yuexiang First Affiliated Hospital of Hebei North University Department of Radiology Zhangjiakou China University of Chinese Medicine Dongzhimen Hospital of Beijing Department of Radiology Beijing China

ISBN: (纸本)9798350315455

In recent years, with the rapid development and popularization of artificial intelligence technology, CT has been more and more widely used in the field of clinical medicine as a non-volume micro body diagnostic method. In this paper, the artificial intelligence software is used to build a dynamic CTR lung scanning image based on the wavelet neural network model, and the genetic algorithm is used to improve the traditional visual lung image quality analysis model to improve the diagnostic efficiency. At the same time, the matrix representation weight value of the relationship between different types of disease maps is obtained by changing the threshold value to calculate the acoustic difference between the same CT tissue to determine its membership function and carry out joint optimization, After that, the effect of this technology was tested, and the results showed that the artificial intelligence based dynamic CT pulmonary perfusion imaging technology had faster generation time and higher quality than traditional algorithms in image processing, so as to achieve accurate mining of results and reduce the number of misdiagnosis. As a result, this method achieved 15 s for imaging test which comparatively lesser than Traditional imaging algorithms. © 2023 IEEE.

关键词： artificial intelligence dynamic CT lung image lung perfusion imaging parameter optimization

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Review on the image Encryption with Hyper-Chaotic systems 5th

Review on the Image Encryption with Hyper-Chaotic Systems

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5th International conference on Soft Computing and Signal processing, ICSCSP 2022

作者： Pathak, Arghya Pal, Subhashish Karmakar, Jayashree Mondal, Hrishikesh Mandal, Mrinal Kanti Department of Physics National Institute of Technology Durgapur713209 India Department of Physics Dr. B. C. Roy Engineering College Durgapur713206 India MUSE Lab Indian Institute of Technology Gandhinagar382355 India Department of Physics Durgapur Government College Durgapur713214 India

ISBN: (纸本)9789811986680

image encryption using a chaotic system is a widely used technique. But, cryptanalysis of most chaotic encryption algorithms pointed out the disadvantages or drawbacks of the chaotic systems. As a remedy, a new and more efficient chaotic system with higher dimension is used recently and named as a hyper-chaotic system. The conditions of an efficient encryption algorithm can be fulfilled effectively by a hyper-chaotic system. Recently, several hyper-chaotic systems are proposed by different researchers, and some of them are used in image encryption techniques. But, some recent cryptanalysis on hyper-chaotic image encryption shows the drawback of these system. This work will discuss different hyper-chaotic systems on the basis of their efficiency to use in image encryption. This discussion will also include the parameters based on which one can choose an efficient hyper-chaotic system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Chaotic systems

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A Generative Network with Dual-Domain Discriminators for Low-Dose Stationary Sources CT Imaging 6

A Generative Network with Dual-Domain Discriminators for Low...

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6th International conference on Digital Medicine and image processing, DMIP 2023

作者： Bai, xiao Cheng, Ying Chen, Linjie Yang, Shuo Wang, Huamin Wang, Zhe Wu, Jiayi Cao, Guohua School of Biomedical Engineering ShanghaiTech University Shanghai China

ISBN: (纸本)9798400709425

Recent development of clinical Computed tomography (CT) technologies has led to research for novel CT systems that allow safer and faster imaging, such as low-dose cardiac CT imaging via stationary CT. However, the complex data acquisition schemes in stationary CT often cause severe artifacts and noise in the resulted images;this calls for the development of a new kind of image reconstruction algorithms. Recent advancements in deep learning have shown remarkable progress in medical image reconstruction, processing, and analysis. In this paper, we propose a generative network with dual-domain discriminators for low-dose CT reconstruction in a stationary CT system. The image-domain discriminator optimizes the generation network by comparing the generated CT images with the reference images, while the sinogram-domain discriminator preserves the structure of the sinograms and suppresses the noise. The network incorporates uncertainty to automatically adjust the weights of a multi-term loss function, eliminating the need for the manual tuning of hyperparameters in the loss function. The results from our numerical experiments demonstrate the effectiveness of our proposed reconstruction algorithm for low-dose imaging in stationary CT. © 2023 ACM.

关键词： image reconstruction

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THE DESIGN OF IMB BUS DATA processing SOFTWARE 10

THE DESIGN OF IMB BUS DATA PROCESSING SOFTWARE

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Wei, Liu Hongna, Jiang Hui, Yan Chinese Flight Test Establishment Xi'an China

ISBN: (纸本)9781837242672

This paper introduces Intermodule Data Bus (IMB)which is used for the C919 Flight Control System. It is necessary to develop IMB bus data processing software to provide data basis for civil aircraft airworthiness certification test *** data are collected and recorded in INET-X protocol in test system,and its bus packet data are mixed with data from other systems on the *** way of storing multi-source network data poses a problem for efficiently identifying the IMB packets in the massive INET-X data *** paper finds that STREAMID is the key data which can uniquely identify the IMB packet from the INET-X network data and LABEL of the message block which can ultimately locate the specific parameters of the IMB bus data by analyzing the INET-X network packet format,IMB bus packet format and network packet storage features. The paper designs a set of ICD management database suitable for data analysis and studies general flow of data processing. The algorithm of time-searching based on memory mapping is used to location of IMB data in Ethernet data *** paper also detailed introduces of the IMB packet localization algorithm. IMB data processing software is designed with these algorithms. It has high efficiency to meet the demand of IMB bus data processing in flight test after software test. © The Institution of Engineering & Technology 2024.

关键词： Steganography

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image Restoration of Latent Diffusion Models Based on Compact A Priori Representation

Image Restoration of Latent Diffusion Models Based on Compac...

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Intelligent Control, Measurement and Signal processing and Intelligent Oil Field (ICMSP), International conference on

作者： xiong He Mingli Jing School of Electronic Engineering Xi’an Shiyou University Xi’an China

ISBN: (数字)9798331516550

ISBN: (纸本)9798331516567

image restoration is the process of reconstructing the undesired part of an image by algorithm, which is one of the research hotspots in the field of computer vision. In this paper, for the problems of insufficient performance of denoising network and insufficient estimation of a priori information of image in Diffusion model for image restoration (DiffIR) model, the u-net network is improved to NAFNet and FreeU module is added. The performance of the denoising network in the diffusion model is effectively improved. Experimental results on Places and CelebA-HQ datasets show that compared with other models, the improved model in this paper leads about 0.5% and 3.1% in the evaluation metrics of LPIPS and FID, respectively.

关键词： Training Computational modeling Noise reduction Process control Signal processing algorithms Signal processing Diffusion models image restoration Optimization Intelligent control

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Research on Polarization Imaging Target Detection Method Based on Multi-View 3

Research on Polarization Imaging Target Detection Method Bas...

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3rd International conference on Computer Graphics, image, and Virtualization, ICCGIV 2023

作者： Cui, Hao Wang, xin Pu, xiankun Shi, Lei Zhou, Zhiqiang Gao, Jun School of Computer and Information Hefei University of Technology Hefei230009 China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei230009 China

ISBN: (纸本)9781510671720

Traditional multi-view target detection can only obtain the light intensity information of the target, and its detection ability is very limited in complex environments;Traditional polarization target detection mainly relies on a single camera to obtain the polarization information of the target, making it difficult to directly obtain all the polarization information of the target in some complex backgrounds. In order to overcome the limitations of the two detection methods mentioned above, this paper studies a multi angle polarization target detection method based on a polarization array system. This method mainly uses traditional multi perspective image processing algorithms to process polarized images and achieve polarization image stitching. To address the issue of the inability to directly concatenate polarized images in low light environments, this paper proposes the introduction of image enhancement algorithms to achieve the concatenation and target detection of multi angle polarized images in low light environments. Based on the characteristics of polarization feature images, a fusion method based on polarization features was studied to improve the contrast between the target and the background. © 2023 SPIE.

关键词： image enhancement

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Retinex by Autoencoders 16

Retinex by Autoencoders

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16th International conference on Signal-image Technology and Internet-Based systems (SITIS)

作者： Pezzoni, Claudio Mio, Corrado Barsotti, Annalisa Univ Milan Dipartimento Informat Giovanni degli Antoni Via Celoria 18 I-20133 Milan Italy Khalifa Univ Sci & Technol EBTIC Abu Dhabi City U Arab Emirates Univ Milan Dipartimento Informat I-20133 Milan Italy

ISBN: (纸本)9781665464956

The Retinex algorithms find wide applications as image enhancers, for their capability of preserving edges, while at the same time attenuating smooth gradients and chromatic dominants. They are characterized by the fact that the output chromatic intensity of a pixel is not determined in isolation (or looking only at the contiguous pixels) but through an operation of comparison to different local and remote areas of the image. This local/global comparison implies also a high computational cost for the algorithms: their complexity is not linear with the number of pixels;furthermore, the more systematic the comparison, the higher the complexity. Thus, most Retinex algorithms are unfit for real-time processing. The recent development of efficient Machine Learning architectures for image processing has raised the question of whether one of the Retinex "transforms" could be efficiently learned by training a feed-forward Artificial Neural Network, thus creating a model characterized by short processing time. Selecting a variant of the Random Spray Retinex model - FuzzyRSR - as representative of the Retinex family, and choosing suitably structured autoencoder neural networks, we found that we could accurately reproduce the Retinex effects. The computational cost of the training phase was moderate, while that of the inference phases was linear in the number of pixels, and three orders of magnitude lower than the one of FuzzyRSR, thus making the ANN implementation of Retinex suitable for real-time processing.

关键词： Autoencoders FuzzyRSR image Enhancement Random Spray Retinex Retinex

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Analyzing Radar Cross Section signatures at automotive microwave radar 3

Analyzing Radar Cross Section signatures at automotive micro...

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3rd International Computing Imaging conference, CITA 2023

作者： Wang, Zizheng Qi, Feng Wu, Hongming Xidian University Xi’an710126 China Shenyang Institute of Automation Chinese Academy of Sciences China The Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing Shenyang110169 China The Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China The Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110169 China College of information science anf engineering Northeastern University Liaoning Province Shenyang110819 China

ISBN: (纸本)9781510671409

With the increasing demand for autonomous vehicles, the reliable detection and recognition of objects have become paramount. Millimeter-wave radar systems operating at frequencies such as 94GHz offer several advantages, including high resolution, precise range measurement, and resilience to adverse weather conditions. However, accurately characterizing the RCS of objects at this frequency range is essential to optimize the performance of these radar systems. In this work, we present Radar Cross Section (RCS) measurements of various objects commonly encountered on the road such as the metal balls, the bricks. The acquired findings illuminate the radar signal fluctuations demonstrated by different entities at a frequency of 94GHz. This knowledge serves as a foundation for developing robust algorithms and signal processing techniques that enhance the object detection, classification, and tracking capabilities of radar-based autonomous driving systems. Moreover, our research provides a valuable dataset of RCS measurements for different objects at 94GHz, which can serve as a benchmark for future studies in the field of radar system design and testing. The availability of such a dataset facilitates the development and validation of radar system models, the evaluation of sensor fusion approaches, and the comparison of performance across different radar hardware and signal processing algorithms. The results contribute to the advancement of radar-based autonomous driving systems by providing crucial insights into the scattering characteristics of objects at millimeter-wave frequencies. The findings have practical implications for optimizing the design, testing, and performance of radar systems, ultimately enhancing the safety and efficiency of autonomous vehicles in real-world scenarios. © 2023 SPIE.

关键词： Millimeter waves

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Regional Proposal Based Underwater Object Tracking

Regional Proposal Based Underwater Object Tracking

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2022 International conference on image processing and Media Computing, ICIPMC 2022

作者： Chen, Shenghua Jiang, xiaoyue xia, Zhaoqiang Feng, xiaoyi Northwestern Polytechnical University Xi'an China

ISBN: (数字)9781665468725

ISBN: (纸本)9781665468725

In recent years, object tracking has developed rap-idly, in which Siamese network-based trackers have occupied an important position in this field. Most algorithms are designed for images taken in the normal air environments;fewer methods are for underwater situations. Water always can bring distraction and reflection of the light, which can blur images and distort colors. A regional proposal based Siamese network combined with under-water image enhancement is proposed for the underwater tracking problem. The proposed tracking method is evaluated on some natural underwater images, and achieve better results than general tracking methods. © 2022 IEEE.

关键词： image enhancement

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