检索结果-内蒙古大学图书馆

Effect of Substitution Site on Two-Photon Absorption and Excited States Properties of Lipid Droplets Detection NAPBr Dyes:a Theoretical Perspective

引用

Chinese Journal of Chemical Physics 2022年第4期35卷 673-684,I0150页

作者： Hong-yang Wang Xiao-fei Wang Jian-zhong Fan Yong Zhou Shandong Province Key Laboratory of Medical Physics and Image Processing Technology Institute of Materials and Clean EnergySchool of Physics and ElectronicsShandong Normal UniversityJinan 250014China Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates South China University of Technology Guangzhou 510640China

Two-photon fluorescence dyes have shown promising applications in biomedical ***,the substitution site effect on geometric structures and photophysical properties of fluorescence dyes is rarely illustrated in *** this work,a series of new lipid droplets detection dyes are designed and studied,molecular optical properties and non-radiative transitions are *** intramolecular weak interaction and electron-hole analysis reveal its inner *** dyes are proven to possess excellent photophysical properties with high fluorescence quantum efficiency and large stokes shift as well as remarkable two-photon absorption cross *** work reasonably elucidates the experimental measurements and the effects of substitution site on two-photon absorption and excited states properties of lipid droplets detection NAPBr dyes are highlighted,which could provide a theoretical perspective for designing efficient organic dyes for lipid droplets detection in biology and medicine fields.

关键词： Substituting effect Two-photon absorption cross section Non-radiative transition Fluorescence quantum efficiency

来源：评论

学校读者我要写书评

暂无评论

Multiple class segmentation using a scene-based framework

Multiple class segmentation using a scene-based framework

引用

2011 International Conference on Electronics and Optoelectronics, ICEOE 2011

作者： Wu, Shilin Zhu, Feng Miao, Xikui Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Sciences Shenyang 110016 China Key Laboratory of Image Understanding and Computer Vision Liaoning Province 110016 China

ISBN: (纸本)9781612842738

In this paper, we propose a new scene-based conditional model and investigate its performance on multiple class segmentation of images. By including the scene of an image, we also propose a new texture-environment potential to represent texture environment of a pixel. We compare our results to related work on the Olive & Torralba database and show that our model obtains greatly improved accuracy of the whole database. More significantly, a large perceptual improvement is gained, i.e. details of different objects are correctly labeled. © 2011 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

BAF-Net: Bidirectional Attention-aware Fluid Pyramid Feature Integrated Multi-modal Fusion Network for Prognosis

BAF-Net: Bidirectional Attention-aware Fluid Pyramid Feature...

引用

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

作者： Wu, Huiqin Lv, Wenbing Du, Dongyang Xu, Hui Lin, Guoyu Zhou, Zidong Ma, Jianhua Lu, Lijun Southern Medical University School of Biomedical Engineering Guangdong Guangzhou510515 China Southern Medical University Guangdong Provincial Key Laboratory of Medical Image Processing The Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology Guangzhou510515 China Pazhou Lab Guangzhou510330 China

ISBN: (纸本)9781665488723

In this work, we proposed a bidirectional attention-aware fluid pyramid features integrated fusion network (BAF-Net) with cross-modal interactions for multi-modality medical images prognosis. The network is composed of two identical branches to preserve the unimodal feature and one paralleled bidirectional attention-aware distillation stream to assimilate cross-modal complements progressively and learn supplementary refined features in both the bottom-up and the top-down processes. The fluid pyramid connections were adopted to integrate the hierarchical features at different levels of deep neural network, and channel-wise attention modules were exploited to mitigate the cross-modal cross-level incompatibility. Furthermore, the depth-wise separable convolution was introduced to fuse the cross-modal cross-level features to alleviate the increase of parameters to a great extent. Better performance was obtained by the proposed BAF-Net compared to unimodal network for cancer prognosis in a public TCIA dataset (head & neck cancer (HNC) dataset composed of 800 patients from nine centers). © 2022 IEEE.

关键词： Bidirectional attention-aware deep learning diagnosis and prognosis fluid pyramid feature integration multi-modalities fusion

来源：评论

学校读者我要写书评

暂无评论

Top-down saliency by multi-scale contextual pooling

Top-down saliency by multi-scale contextual pooling

引用

13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Qiu, Yuanyuan Zhu, Jun Zhang, Rui Huang, Jun Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiao Tong University Shanghai China Shanghai Advanced Research Institute Chinese Academy of Sciences China

ISBN: (纸本)9783642347771

Goal-driven top-down mechanism plays an important role in the case of object detection and recognition. In this paper, we propose a top-down computational model for goal-driven saliency detection based on a coding-based classification framework. It consists of four successive steps: feature extraction, descriptor coding, local pooling and saliency prediction. In the step of local pooling, we investigate the effect of multi-scale contextual information for saliency detection and find that there exists an optimal contextual scale to achieve the patch-level feature presentation. On basis of this observation, we propose an approach for automatic scale selection in saliency prediction step. The experimental results demonstrate that our method can effectively improve the performance of goal-driven saliency detection as well as related object detection. © 2012 Springer-Verlag.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Visual Attention Data for image Quality Assessment Databases

Visual Attention Data for Image Quality Assessment Databases

引用

IEEE International Symposium on Circuits and Systems

作者： Xiongkuo Min Guangtao Zhai Zhongpai Gao Ke Gu Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmissions

ISBN: (纸本)9781479934331

images usually contain areas that particularly attract people's attention and visual attention is an important feature of human visual system (HVS). Visual attention had been shown to be effective in improving performance of existing image quality assessment (IQA) metrics. However, with the quick advancement of IQA research, the booming of open IQA databases calls for associated comprehensive and accurate visual attention dataset. Despite of the large number of existing computational attention/saliency models, the most accurate measure of human attention is still human based. In this research, we first conduct extensive eye tracking experiments for all the pristine images from the seven widely used IQA databases (LIVE, TID2008, CSIQ, Toyama, LIVE Multiply Distortion, IVC and A57 databases). Then we propose a gaze-duration adaptive weighting approach to generate saliency maps from the eye tracking data. When applied on the IQA databases, experimental results suggest that accuracy of benchmark quality metrics, e.g. PSNR and SSIM can be systematically improved, outperforming existing saliency datasets. Both the eye tracking data and the saliency maps in this research will be made publicly available at ***.

关键词： important HVS IQA

来源：评论

学校读者我要写书评

暂无评论

image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain

引用

自动化学报 2008年第12期34卷 1508-1514页

作者： QU Xiao-Bo YAN Jing-Wen XIAO Hong-Zhi ZHU Zi-Qian Department of Communication Engineering Xiamen University Xiamen 361005 P.R. China Key Laboratory of Digital Signal and Image Processing of Guangdong Province Shantou University Shantou 515063 P.R. China Research Institute of Chinese Radar Electronic Equipment Wuxi 214063 P. R. China

Nonsubsampled contourlet 变换(NSCT ) 为图象提供灵活 multiresolution， anisotropy，和方向性的扩大。与原来的 contourlet 变换相比，它是移动不变的并且能在奇特附近克服 pseudo-Gibbs 现象。脉搏联合了神经网络(PCNN ) 是一个视... 详细信息

Nonsubsampled contourlet 变换(NSCT ) 为图象提供灵活 multiresolution， anisotropy，和方向性的扩大。与原来的 contourlet 变换相比，它是移动不变的并且能在奇特附近克服 pseudo-Gibbs 现象。脉搏联合了神经网络(PCNN ) 是一个视觉启发外皮的神经网络并且由全球联合和神经原的脉搏同步描绘。它为图象处理被证明合适并且成功地在图象熔化采用。在这份报纸， NSCT 与 PCNN 被联系并且在图象熔化使用了充分利用他们的特征。在 NSCT 领域的空间频率是输入与大开火的时间在 NSCT 领域激发 PCNN 和系数作为熔化图象的系数被选择。试验性的结果证明建议算法超过典型基于小浪，基于 contourlet，基于 PCNN，并且 contourlet-PCNN-based 熔化算法以客观标准和视觉外观。

关键词：图像融合算法空间频率脉冲耦合神经网络变换域自动化系统

来源：评论

学校读者我要写书评

暂无评论

Interactive object segmentation using iterative adjustable graph cut

Interactive object segmentation using iterative adjustable g...

引用

2011 IEEE Visual communications and image processing, VCIP 2011

作者： Shi, Ran Liu, Zhi Xue, Yinzhu Zhang, Xiang School of Communication and Information Engineering Shanghai University Shanghai 200072 China Key Laboratory of Advanced Display and System Application Shanghai University Ministry of Education Shanghai 200072 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9781457713200

Interactive object segmentation is widely used for extracting any user-interested objects from natural images. A common problem with many interactive segmentation approaches is that the object segmentation quality is degraded due to inaccurate object/background seeds provided by the user. This paper proposes an iterative adjustable graph cut to efficiently solve this problem. First, object/background seeds are initialized based on the object segmentation result obtained with the user-specified scribbles as the interactive input. Then, an iterative seed adjustment scheme is exploited to correct inaccurate seeds and extract new suitable seeds via graph cut, in which the balancing weight between energy terms are adaptively updated to protect stable seeds and speedup the iteration process. Finally, suitable seeds are obtained and graph cut is used to segment the objects. Experimental results demonstrate the better segmentation performance of our approach even if user provides rather rough seeds. © 2011 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Co-cyclic jacket matrix based optimal training design and placement for MIMO OFDM channel estimation

Co-cyclic jacket matrix based optimal training design and pl...

引用

2008 4th IEEE International Conference on Circuits and Systems for communications, ICCSC

作者： Lin, Chengyu Zhang, Wenjun Guo, Ying Xu, Youyun Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240 China Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai 200240 China School of Information Science and Engineering Central South University Changsha 410083 China

ISBN: (纸本)9781424417087

This paper deals with optimal training design and placement over multiple OFDM symbols for the least squares (LS) channel estimation in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. When the number of transmit antennas increases, more pilot tones are required and the transmission efficiency decreases. To solve this problem, the pilot sequences are distributed over multiple OFDM symbols. Motivated by the properties of co-cyclic Jacket matrices, we derive the optimal pilot sequences from co-cyclic Jacket matrices based on the minimum mean square error (MSE) of the LS channel estimation. Simulation results show that the derived optimal pilot sequences over one, two and four OFDM symbols have the same performance, and greatly outperform the orthogonal pilot sequences in slowly time-varying channels. ©2008 IEEE.

关键词： Orthogonal frequency division multiplexing

来源：评论

学校读者我要写书评

暂无评论

The analysis of biological cell behaviors using Bayesian bidirectional network model

The analysis of biological cell behaviors using Bayesian bid...

引用

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Keming Zhang Hua Yang Chongyang Zhang Shanghai Key Laboratory of Digital Media Processing and Transmission Department of EEInstitution of Image Communication and Information Processing Shanghai Jiaotong University Shanghai China

As the increasing demand on medical and biological research, automatic behavior analysis for large scale biological cells faces a big challenge. A novel Bayesian bidirectional network model is proposed in this paper for detection and statistic of the cells behaviors such as birth, vanishing, split, merging and so on. First the cells in every frame are distinguished from background by mean shift filter and level set segmentation. Then we build a bidirectional Bayesian network by modeling the cell regions as vertices and the similarity of cell regions in successive frames as directed edges. By applying weights on the directed edges, the graph model represents the relation between cell regions. Finally, in order to remove fake edges, a iterative algorithm is adopted for analyzing the graph model and obtaining the optimal path of each cell. Experiment result shows that the proposed method is effective and accurate to detect most cells behaviors.

关键词： Bayesian methods image segmentation Level set Feature extraction Biomedical imaging Tracking image edge detection

来源：评论

学校读者我要写书评

暂无评论

The large-scale crowd density estimation based on sparse spatiotemporal local binary pattern

The large-scale crowd density estimation based on sparse spa...

引用

IEEE International Conference on Multimedia and Expo (ICME)

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

ISBN: (纸本)9781612843483

Over the past decade, a wide attention has been paid to the crowd control and management in intelligent video surveillance area. This paper proposes a sparse spatiotemporal local binary pattern (SST-LBP) descriptor to extract the dynamic texture of the walking crowd with the application to crowd density estimation. Firstly, the sparse selected location is extracted, which is notably variant in temporal domain and scale invariant in spatial domain. Afterwards, considering the spatial and temporal symmetry, the authors propose a sparse spatiotemporal local binary pattern algorithm and utilize its statistical property to describe the crowd feature. Finally, the crowd features are classified into a range of density levels by adopting support vector machine. The experiments on real video show that the proposed SST-LBP method is effective and robust on the large-scale crowd density estimation. Compared with the other methods, the proposed method does not base on the premise that the background should be extracted perfectly, which is too complicated to implement in real surveillance.

关键词： Spatiotemporal phenomena Feature extraction Estimation Support vector machines Heuristic algorithms Legged locomotion Equations

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：