检索结果-内蒙古大学图书馆

2013 3rd International Conference on Electric and Electronics(EEIC 2013)

作者： Yunyu Shi Zhiyong Gao Xiaoyun Zhang Institute of Image Communication and Network Engineering& Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University

The new introduced concept, transform tree or residual quadtree(RQT) in HEVC standard, brings high coding performance along with high computational complexity because the optimal TU partition is estimated in a ratedistortion sense at the encoder sides by testing all kinds of partitions. This paper focus on early TU split termination in terms of the tradeoff between computation and coding quality. An early TU split termination scheme based on quasi-zeroblock(QZB) is proposed, which is defined by two aspects about the quantized transform coefficients;the sum of all absolute coefficients and the number of nonzero coefficients. Besides, the selective probability of every TU depth is calculated and analyzed. Experimental results show that the proposed method(HM-QZB) could achieve 22.8% reduction in encoding time and 50.59% reduction in TU processing time compared to the HEVC test model HM10.0 encoder with about 0.04 d B BDPSNR loss in coding performance.

关键词： HEVC early termination TU split residual quadtree(RQT) quasi-zero-block(QZB)

来源：评论

学校读者我要写书评

暂无评论

A Control Method for Electric Cylinder Based on Three-Order ADRC

A Control Method for Electric Cylinder Based on Three-Order ...

引用

WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Zhifan Jiang Zhihua Chen Lijun Tong Jiale Huang Yufei Che Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology Nanchang Hangkong University Nanchang

ISBN: (数字)9798331506100

ISBN: (纸本)9798331506117

As an executive component of robots, the precise control of electric cylinders is crucial for achieving accurate control of robots. This article proposes a position closed-loop electric cylinder control method based on three-orders active disturbance rejection control (ADRC). Firstly, model the electric cylinder system and determine its transfer function. Secondly, PID controllers and ADRC controllers were designed separately, and their stability was verified through the Routh criterion and Lyapunov method, respectively. Finally, the control effects of PID and ADRC were compared through three sets of experiments. The results show that compared to PID, ADRC is less affected by the increase in input signal frequency, has stronger anti-interference ability, and can effectively resist the influence of internal uncertainty.

关键词： Robust control Automatic frequency control PI control Uncertainty Stability criteria Transfer functions Resists PD control Robots Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Direct PET Parametric Imaging Using Deep image Prior and a Parameter Amplification Strategy

Direct PET Parametric Imaging Using Deep Image Prior and a P...

引用

2022 IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference, IEEE NSS MIC RTSD 2022

作者： Hong, Xiaotong Wang, Fanghu Lu, Lijun Southern Medical University School of Biomedical Engineering Guangdong Province Key Laboratory of Medical Image Processing Guangzhou510515 China Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences WeiLun Pet Center Department of Nuclear Medicine Guangzhou510080 China

ISBN: (纸本)9781665488723

Direct parametric imaging in positron emission tomography (PET) is the technique of reconstructing pharmacokinetic parametric images directly from raw PET data. Nonlinear parametric imaging is challenging due to the high level of noise in the raw PET data and the complex mapping from kinetic parameters to the projection space. In this work, we proposed a parameter amplification strategy and incorporated deep image prior (DIP) and forward physical model to reconstruct parametric images of nonlinear compartmental model. We used a U-Net as generator to output multiple images from different channels, and each channel output was scaled by an amplification factor (AF) to obtain the parametric image. Amplification was applied on the parameters that had small values and less impact on the objective function modeled by Poisson measured data. The proposed DIP-AF method was tested on the two-tissue model using 30-minute dynamic18F-FDG cardiac phantom data, and an AF of 10 was applied on k3. Results showed that the DIP-based method outperformed than the traditional indirect method and an optimization transfer direct method (OTEM). The reconstructed k3 and Ki images using the proposed DIP-AF method showed less noise and better image structure compared to the DIP-only method, which demonstrated the effectiveness of the parameter amplification strategy © 2022 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Crowd Event Perception Based on Spatio-temporal Viscous Fluid Field

Crowd Event Perception Based on Spatio-temporal Viscous Flui...

引用

IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Hang Su Hua Yang Shibao Zheng Yawen Fan Sha Wei Institution of Image Communication and Information Processing Department of EE Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiaotong University Shanghai China

Over the past decades, a wide attention has been paid to crowd control and management in intelligent video surveillance area. In this paper, the authors propose a novel spatiotemporal viscous fluid field to recognize large-scale crowd event with respect to both appearance and driven factor of crowd behavior. Firstly, a spatiotemporal variation matrix is proposed to exploit motion property of a crowd. In particular, the paper exploits characteristics of the matrix with eigenvalue decomposition algorithm and constructs an abstract fluid field to model the crowd motion pattern, which is denoted by spatiotemporal fluid field. Secondly, the paper proposes a spatiotemporal force field to exploit the interaction force between the pedestrians. Furthermore, the fluid and force field constructs a spatiotemporal viscous fluid field. Thirdly, after generating feature with bag of word model, the authors utilize latent Dirichlet allocation model to recognize crowd behavior. The experiments on PETS2009 and UMN datasets show that the proposed method has a better performance for large-scale crowd behavior perception in both robustness and effectiveness comparing with the conventional methods.

关键词： Force Spatiotemporal phenomena Eigenvalues and eigenfunctions Vectors Abstracts Resource management Symmetric matrices

来源：评论

学校读者我要写书评

暂无评论

Geometric Motion Flow (GMF): A New Feature for Traffic Surveillance

Geometric Motion Flow (GMF): A New Feature for Traffic Surve...

引用

International Conference on image and Graphics (ICIG)

作者： Yawen Fan Hua Yang Shibao Zheng Hang Su Institution of Image Communication and Information Processing Department of EE Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiaotong University Shanghai China

Motion analysis is still a challenging task in many computer vision applications. This paper proposes a new low-level motion feature based on geometric regularity information, particularly suited for traffic surveillance. Firstly, a novel concept of temporal geometry consistency constraint (TGCC) is introduced, which exploits the fact that the geometric structure of a rigid object remains consistent across consecutive frames. Furthermore, the spatial geometric flow is adopted to characterize image structure. Finally, the video motion is represented as a set of geometric flow that moves in the temporal direction. In this case, the method yields a promising illumination robust moderately dense geometric motion flow (GMF) and has more explicit motion boundaries. The GMF could also be used for higher level motion modeling and structural inference tasks, as an effective low-level feature. Extensive experiment results on real video demonstrate the effectiveness and robustness of the proposed method for vehicle motion analysis.

关键词： Optical imaging Geometrical optics Robustness Lighting Computer vision Motion estimation Geometry

来源：评论

学校读者我要写书评

暂无评论

Deep Learning and XGBoost Based Prediction Algorithm for Esophageal Varices 8th

Deep Learning and XGBoost Based Prediction Algorithm for Eso...

引用

8th International Conference on Signal and Information processing, Network and Computers, ICSINC 2021

作者： Chen, Xinyi Sun, Jiande Wang, Zhishun Fan, Yanling Qiao, Jianping Shandong Province Key Laboratory of Medical Physics and Image Processing Technology School of Physics and Electronics Shandong Normal University Jinan China School of Information Science and Engineering Shandong Normal University Jinan China Department of Psychiatry Columbia University New YorkNY United States

ISBN: (纸本)9789811933868

The deep convolutional neural network has been extensively applied for clinical computer-aided diagnosis. In this study, we combine deep learning feature extraction and eXtreme gradient boosting (XGBoost) classifier for predicting the risk of esophageal varices (EV). First, the quantitative deep learning features and radiomics features of the regions of interest which includes spleen, liver and esophageal are extracted and concatenated. Then, XGBoost and the Least Absolute Shrinkage and Selection Operator (LASSO) are applied for the optimal predictive features selection and prediction of EV risk. XGBoost is used to assess the significance of the extracted features and LASSO is used to select the distinctive features. Finally, random forest, XGBoost and support vector machine classification methods are applied for predicting the low-risk and high-risk of esophageal varices. We collected computed tomography images of cirrhotic patients in two hospitals as the independent training and validation sets. Experimental results show that the features of esophageal are more distinctive than that of other organs. Moreover, the combination of deep learning and radiomics features based on XGBoost algorithm has outperforming classification performance in predicting the severity of EV disease compared to existing approaches. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Computerized tomography

来源：评论

学校读者我要写书评

暂无评论

A Reliable Data Hiding Scheme Using Jigsaw Sudoku

A Reliable Data Hiding Scheme Using Jigsaw Sudoku

引用

2018 International Conference on Network, communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Dongshuo Yin Yu Zhang Jiahao Deng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

A distinctive data hiding method based on Jigsaw Sudoku is proposed in this *** from other methods,the proposed method is based on Jigsaw Sudoku which is a kind of irregularly shaped *** to the novelty of Jigsaw Sudoku,the proposed method can provide a safer scheme for data hiding than that with pure *** proposed method can hide a certain number of 9-ary numbers in a steganographic image which has a corresponding *** a 256*256 key matrix stretched from a size 9*9 Jigsaw Sudoku,secret message can be hidden in a vector image byte by byte in the form of *** results show that,the proposed method has a better peaksignal-to-noise-ratio(PSNR) compared with some other data hiding methods.

关键词： Sudoku PSNR hiding methods irregularly shaped steganographic image corresponding specification

来源：评论

学校读者我要写书评

暂无评论

Tangram Algorithm:High image Quality Secret Sharing Scheme Using Two Steganographic images

Tangram Algorithm:High Image Quality Secret Sharing Scheme U...

引用

2018 International Conference on Network, communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Jiahao Deng Yu Zhang Dongshuo Yin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

In this paper,our proposed scheme using two steganography *** other data hiding schemes,this scheme studies the characteristics of the Tangram puzzle model and the secret message bytes that make up the eight binary bits that are hidden into the two *** matrix M *,horizontal and vertical coordinate range from 0 to 255,and the pixel pairs in the cover image are used to help hide the secret message bytes in our *** paired pixel points into single and double number hidden in two *** show that the program can hide relatively more pixels in a cover image with less losing image quality.

关键词： steganography images Tangram puzzle matrix M* hide relatively scenario

来源：评论

学校读者我要写书评

暂无评论

Motion Planning and Tracking Control Method Based on CoppeliaSim for UGV in Irregular Terrain

Motion Planning and Tracking Control Method Based on Coppeli...

引用

WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Jiale Huang Zhihua Chen Yongbo Zhong Wenrui Zeng Chuanmin Ji key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology Nanchang Hangkong University Nanchang China

Path planning and tracking algorithms are one of the cores of autonomous navigation technology for unmanned ground vehicle (UGV). In this paper, a local obstacle avoidance method based on event-triggered control is proposed to ensure that the UGV avoids obstacles in the tracking process. First, the path planning and tracking control problem of the UGV is modeled and formulated. Second, the improvement and logical correlation of the relevant algorithms are described in detail. Finally, ajoint simulation of MATLAB and V-rep is performed. The simulation results show that event-triggered control can largely improve the reliability of the UGV path planning and tracking process, and verify the effectiveness of the algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Vsgnet: Visual Saliency Guided Network for Skin Lesion Segmentation

SSRN

引用

SSRN 2023年

作者： Cai, Zhefei Fan, Yingle Fang, Tao Wu, Wei Laboratory of Pattern Recognition and Image Processing Hangzhou Dianzi University Hangzhou310018 China Zhejiang Provincial Key Laboratory of Information Processing Communication and Networking Zhejiang310058 China

The accuracy of skin lesion segmentation is of great significance for the subsequent clinical diagnosis. In order to improve the segmentation accuracy, some pioneering works tried to embed multiple complex modules, or used the huge Transformer framework, but due to the limitation of computing resources, these type of large models were not suitable for the actual clinical environment. To address the coexistence challenges of precision and lightweight, we propose a visual saliency guided network (VSGNet) for skin lesion segmentation, which generates saliency images of skin lesions through the efficient attention mechanism of biological vision, and guides the network to quickly locate the target area, so as to solve the localization difficulties in the skin lesion segmentation tasks. VSGNet includes three parts: Color Constancy module, Saliency Detection module and Ultra Lightweight Multi-level Interconnection Network(ULMI-Net). Specially, ULMI-Net uses a U-shaped structure network as the skeleton, including the Adaptive Split Channel Attention (ASCA) module that simulates the parallel mechanism of biological vision dual pathway, and the Channel-Spatial Parallel Attention (CSPA) module inspired by the multi-level interconnection structure of visual cortices. Through these modules, ULMI-Net can balance the efficient extraction and multi-scale fusion of global and local features, and try to achieve the excellent segmentation results at the lowest cost of parameters and computational complexity. To validate the effectiveness and robustness of the proposed VSGNet on three publicly available skin lesion segmentation datasets (ISIC2017, ISIC2018 and PH2 datasets). The experimental results show that compared to other state-of-the-art methods, VSGNet improves the Dice and mIoU metrics by 1.84% and 3.34%, respectively, and with a 196× and 106× reduction in the number of parameters and computational complexity. This paper constructs the VSGNet integrating the biological vision m

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：