混合多尺度分析和改进PCNN相结合的图像融合方法

为了更好地融合全色图像中的空间细节信息和多光谱图像中的光谱信息,提出一种基于混合多尺度分析和改进脉冲耦合神经网络(PCNN)的多光谱与全色图像融合方法.首先对全色图像和多光谱图像进行非下采样剪切波变换(NSST),并结合不同多尺度分析方法的互补特性,利用平稳小波变换(SWT)对低频分量部分进行二次分解,在混合多尺度域进行系数融合及SWT逆变换;然后采用基于PCNN的融合规则对高频分量部分进行融合;最后对融合后的高低频系数进行NSST逆变换,得到融合图像.在2组卫星拍摄的多光谱和全色图像上的实验结果表明,在主观视觉与客观评价指标的总体效果上,该方法优于其他8种经典以及流行方法.     

基于改进的稀疏表示和PCNN的图像融合算法研究

为提高图像融合的清晰度,本文提出一种基于改进的稀疏表示和脉冲耦合神经网络（pulse coupled neural network,PCNN）的图像融合。利用非下采样剪切波变换（non-subsampled shearlet transform,NSST）对源图像进行分解变换,得到相应的低频子带和高频子带具有不同的信息。对于低频子带,采用改进的稀疏表示进行融合,利用K奇异值分解（K-singular value decomposition,K-SVD）算法,并对源图像进行自适应学习的多个子字典构造成联合词典。对于高频子带,则改进PCNN融合系数的选择方法,利用改进的空间频率作为神经元反馈输入来激励PCNN模型,并根据点火输出的总幅度最大的融合规则选择高频系数。最后,将融合后的低频子带和高频子带系数进行NSST逆变换,重构出融合图像。实验结果表明:该算法很好地保留了图像的边缘信息,并且得到的图像在相关的客观评价标准上也取得了良好的效果,表明了本算法的有效性。     

基于NSST 域隐马尔可夫树模型的SAR 和灰度可见光图像融合

针对合成孔径雷达(SAR) 图像和可见光图像融合问题, 提出一种基于非下采样剪切波变换域的隐马尔可夫树模型的图像融合方法(NHMM), 图像经过非下采样剪切波变换(NSST) 分解形成一个低频子带和多个高频子带.在NSST 域中, 对低频系数采用基于标准差的融合策略; 针对高频子带, 建立NSST 域隐马尔可夫树(HMT) 模型对高频系数进行训练, 并根据梯度能量对训练后的高频系数进行选择, 最后通过NSST 逆变换得到融合图像. 实验结果表明, 所提出的方法可提高图像的融合质量, 并能降低图像噪声, 具有一定的有效性和实用性.

     

基于改进引导滤波与DCPCNN的图像融合方法

针对红外图像与可见光图像融合易产生边缘信息缺失,目标不够突出等问题,将引导滤波的保持边缘特性与双通道脉冲耦合神经网络（DCPCNN）的非线性耦合调制特性相结合,提出一种基于改进引导滤波与DCPCNN的红外与可见光图像融合算法。该方法首先选取非下采样剪切波变换将图像进行分解,获得高低频分量;对低频分量的融合是利用改进空间频率作用DCPCNN输入激励,且其链接强度由表征图像信息的平均梯度自适应调整来确定;高频分量融合是利用局部平均梯度与区域方差自适应加权,而后采用改进的引导滤波进行平滑处理实现空间一致性;最后,对分别处理后的各分量经过非下采样剪切波变换可逆变换获取融合图像。针对典型背景目标和复杂背景目标两类实验结果表明,与经典的曲波变换、双树复小波变换、非下采样轮廓波变换和非下采样剪切波变换等方法相比,该算法可以有效综合图像的优势信息,且在平均梯度、标准差、空间频率、相关系数等方面具有更高的优势。     

基于双边滤波和NSST的红外与可见光图像融合

针对传统图像融合容易导致目标信息减弱、背景细节不清晰的问题,提出一种基于非下采样剪切波变换（Non-subsampled Shearlet Transform, NSST）和双边滤波的融合算法。首先,利用双边和高斯滤波器处理红外与可见光图像,得到包含红外目标的大尺度边缘图像;然后,采用NSST分解红外与可见光图像,得到相应的高频和低频子带系数,低频部分利用已得的大尺度边缘图像指导加权,高频部分采用绝对值取大的方法;最后将融合后的各频带系数经过NSST逆变换得到融合结果。实验结果显示,该方法既能有效突出红外目标,又充分保留了可见光图像中的背景信息,在信息熵、互信息和峰值信噪比等客观评价指标上也都优于传统的融合算法。     

结合NSST与GA参数优化PCNN图像融合

针对传统多尺度融合算法不具平移性、融合效果较差以及PCNN参数设置复杂等问题,提出了一种结合非下采样剪切波变换（NSST）与遗传算法（GA）优化脉冲耦合神经网络（PCNN）参数的图像融合方法,将融合指标（互信息[MI]、边缘信息保留度[QAB/F]、熵[EN]、空间频率[SF]、图像标准差[STD]和图像平均梯度[AG]）的最大值设为GA优化算法的目标函数,从而获得最优解对PCNN的链接强度、阈值等参数进行优化。首先利用NSST对图像进行多尺度分解,其次高频采用空间频率引导PCNN进行融合,低频采用改进拉普拉斯能量和（SML）进行融合,最后进行NSST逆变换得到最终的融合图像。根据主观评价与客观评价指标对多聚焦图像、医学图像和红外及可见光图像的融合效果进行评价分析。实验结果表明,该算法在客观评价指标上优于其他算法,有较好的融合效果。     

采用改进平均梯度与自适应PCNN的图像融合

为了改善对多聚焦图像融合的视觉效果和时效性.借助非下抽样剪切波(NSST)变换的平移不变性和较强的方向选择性,提出改进的融合策略.通过NSST变换对源图像进行分解,获得与源图像大小相同但尺度不同的低频子带和高频子带,再采用改进平均梯度的策略对低频子带进行融合,对高频子带则利用改进的自适应PCNN策略进行融合.对融合后的高低频子带进行NSST逆变换,重构出整体更自然明亮和细节纹理更清晰的融合图像.仿真结果表明:改进融合策略较好地提取出了源图像的细节信息,在主观视觉和五种客观评价指标上均优于其他几种比较算法,且由于NSST引入了快速傅里叶变换,明显提高了运算的时效性.     

基于低秩表示和NSST的医学图像融合

针对不同模态的医学图像成像机理不同,对人体信息显示特性不同,融合结果噪声较大,梯度信息不足等问题,提出一种基于低秩表示和非下采样剪切波变换(NSST)的医学图像融合方法。采用低秩表示方法LatentLRR对原始医学图像进行去噪及特征信息提取,得到基础图像;通过NSST对基础图像分解得到高频图像和低频图像;对得到的相应特征信息运用引导滤波的方法进行处理得到融合后的特征图像,对高频图采用局部梯度能量算法进行融合,对低频图采用加权改进拉普拉斯能量和进行融合;采用逆NSST得到基础融合图像;将基础融合图与特征融合图结合得到最终融合图像。与几种经典图像融合算法相比较,该算法在客观评价和主观评价上均表现出优势。     

采用改进平均梯度与自适应PCNN的图像融合

为了改善对多聚焦图像融合的视觉效果和时效性.借助非下抽样剪切波(NSST)变换的平移不变性和较强的方向选择性,提出改进的融合策略.通过NSST变换对源图像进行分解,获得与源图像大小相同但尺度不同的低频子带和高频子带,再采用改进平均梯度的策略对低频子带进行融合,对高频子带则利用改进的自适应PCNN策略进行融合.对融合后的高低频子带进行NSST逆变换,重构出整体更自然明亮和细节纹理更清晰的融合图像.仿真结果表明:改进融合策略较好地提取出了源图像的细节信息,在主观视觉和五种客观评价指标上均优于其他几种比较算法,且由于NSST引入了快速傅里叶变换,明显提高了运算的时效性.     

基于非下采样Shearlet变换与聚焦区域检测的多聚焦图像融合算法

为了提高基于多尺度变换的多聚焦图像融合中聚焦区域的准确性,提出了一种基于非下采样Shearlet变换(NSST)与聚焦区域检测的多聚焦图像融合算法。首先,通过基于非下采样Shearlet变换的融合方法得到初始融合图像;其次,将初始融合图像与源多聚焦图像作比较,得到初始聚焦区域;接着,利用形态学开闭运算对初始聚焦区域进行修正;最后,在修正的聚焦区域上通过改进的脉冲耦合神经网络(IPCNN)获得融合图像。与经典的基于小波变换、Shearlet变换的融合方法以及当前流行的基于NSST和脉冲耦合神经网络(PCNN)的融合方法相比,所提算法在客观评价指标互信息(MI)、空间频率和转移的边缘信息上均有明显的提高。实验结果表明,所提出的算法能更准确地识别出源图像中的聚焦区域,能从源图像中提取出更多的清晰信息到融合图像。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

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