An automatic image registration method based on SIFT and Harris-Affine features matching

中文摘要: 针对大失配多传感器图像 ,提出了一种基于 SIFT ( scale invariant keypoint s)和 Harris-Affine ( H-A)互补不变特征匹配的自动配准算法.算法应用 SIFT 和 H-A 两种具有互补特性的局部不变特征 ,根据最近邻特征点距离与次近邻特征点距离之比确定初始匹配点对,然后利用马氏距离的仿射不变性删除误匹配特征点对 ,据此求取 2 幅源图像间的仿射变换参数.使用估计的变换矩阵把待配准图像上的所有点映射到参考图像,并对其进行重采样 ,实现图像的配准.实验结果表明:该算法能够快速高精度实现大失配图像的自动配准. 英文摘要：Abstract : An automatic image regist ration algorithm based on the complementary SIFT and Harris-Affine ( H-A) local invariant feat ures was proposed for large misalignment multi-sensor images. In this algorithm , SIFT features were complemented with H-A features and the ratio of the first and second nearest neighbor distance were used to set up the initial correspondences. The affine invariant of Mahalannobis distance was used to remove the mismatched feat ure points. With this correspondence of the points , the affine matrix between two different images could be determined. All points in the sensed image were mapped to the reference using the estimated transformation matrix and the corresponding gray level was assigned by resampling the image in the sensed image. Experiment s demonst rated the feasibility of this method.国家高技术研究发展计划资助项目 (2006AA01Z129) ; 国家重点基础研究发展计划资助项目(2007CB311005) ;河南省教育厅自然科学基础研究计划资助项目 (2007510023) ;985 工程二期科技创新 平台项目;福建省自然科学基金资助项目 (A0710020)

Meta-analysis on risk factors of hypertension among Chinese

目的综合评价中国居民高血压的主要危险因素,为高血压的一级预防提供循证依据。方法检索收集国内2003-2012年发表的高血压危险因素病例对照研究文献,应用lICHTEnSTEIn量表进行文献质量评估,采用META分析方法进行定量综合分析,绘制森林图,计算危险因素合并Or值及其95%置信区间,通过绘制漏斗图和计算失安全系数nfS控制偏倚。结果纳入文献37篇,各危险因素合并Or值(95%CI)由高到低依次为:糖尿病史Or=2.76(2.24,3.39);超重Or=2.61(2.19,3.11);高血压家族史Or=2.56(2.35,2.79);高盐饮食Or=1.47(1.16,1.85);饮酒Or=1.15(1.07,1.24);吸烟Or=1.14(1.05,1.23)。结论糖尿病史、超重、高血压家族史、高盐饮食、饮酒、吸烟均为中国居民高血压的危险因素。Objective To make a comprehensive evaluation on the main risk factors of the hypertension in China, so as to provide evidences for the primary prevention of hypertension.Methods We searched and collected the literature which were case-control studies on the risk factors of the hypertension in China published from 2003 to 2012.We conducted a quality evaluation of the included literature by Lichtenstein scale.A comprehensively quantitative assessment was made by meta-analysis, including drawing forest plots, calculating the pooled odds ratio(OR) and the 95% confidence interval(95% CI).The biases were controlled according to the funnel plots and the fail-safe number(Nfs).Results A total of 37 studies are included, the pooled OR and its 95% CI of each risk factors are: diabetes 2.76(2.24, 3.39), overweight 2.61(2.19, 3.11), the family history of hypertension 2.56(2.35, 2.79),high-salt diet 1.47(1.16, 1.85), drinking 1.15(1.07, 1.24) and smoking 1.14(1.05, 1.23).Conclusions Diabetes, overweight, the family history of hypertension, high-salt diet, drinking and smoking are all risk factors of hypertension.国家级大学生创新项目(DC2013022

闽南文化研究国际笔谈会论点选载

2013年12月21日,由闽南师范大学闽南文化研究院主办的“2013闽南文化研究国际笔谈会“在国际学术交流中心召开。来自海峡两岸及日本、新加坡等国家的闽南文化研究方面的专家、学者二十余人出席了会议。会议围绕着闽南文化的内涵、外延及特征,闽南文化的当代价值与社会功能,闽南文化研究的理论与方法,闽南文化的跨文化阐释,闽南文化的世界性及其意义,闽南文化与两岸交流,闽南文化的生态保护,闽南文化学科建设与人才培养等议题展开了深入的研讨,言简意赅,探幽发微,对当下闽南文化理论研究势必产生积极的影响。本期节录专家们的精彩发言,以飨读者,也希望由此来带动和促进闽南文化研究的进一步升华

An automatic image registration method based on SIFT and Harris-Affine features matching

针对大失配多传感器图像,提出了一种基于SIFT(scale invariant keypoints)和Harris-Affine(H-A)互补不变特征匹配的自动配准算法.算法应用SIFT和H-A两种具有互补特性的局部不变特征,根据最近邻特征点距离与次近邻特征点距离之比确定初始匹配点对,然后利用马氏距离的仿射不变性删除误匹配特征点对,据此求取2幅源图像间的仿射变换参数.使用估计的变换矩阵把待配准图像上的所有点映射到参考图像,并对其进行重采样,实现图像的配准.实验结果表明:该算法能够快速高精度实现大失配图像的自动配准.An automatic image registration algorithm based on the complementary SIFT and Harris-Affine(H-A) local invariant features was proposed for large misalignment multi-sensor images.In this algorithm,SIFT features were complemented with H-A features and the ratio of the first and second nearest neighbor distance were used to setup the initial correspondences.The affine invariant of Mahalannobis distance was used to remove the mismatched feature points.With this correspondence of the points,the affine matrix between two different images could be determined.All points in the sensed image were mapped to the reference using the estimated transformation matrix and the corresponding gray level was assigned by re-sampling the image in the sensed image.Experiments demonstrated the feasibility of this method.国家高技术研究发展计划资助项目(2006AA01Z129);; 国家重点基础研究发展计划资助项目(2007CB311005);; 河南省教育厅自然科学基础研究计划资助项目(2007510023);; 985工程二期科技创新平台项目;; 福建省自然科学基金资助项目(A0710020

Tight K-Frames in Hilbert Spaces

k-框架是框架的一种推广.本文在HIlbErT空间将紧框架推广到k-框架上,引入紧k-框架的概念.通过紧k-框架的算子k和合成算子给出紧k-框架的算子刻画,并利用紧k-框架的算子k给出紧k-框架成为紧框架的一个充要条件.还讨论紧k-框架的构造以及两个紧k-框架集的包含与涉及的算子k的相互关系.K-frames are the generalizations of frames.In this paper,we introduce the definition of a tight K-frame in a Hilbert space,then we give a characterization for tight K-frames by the synthesis operator and the operator K.By means of the operator K,we also obtain a necessary and sufficient condition for tight K-frames to be tight frames.In the end we make a discussion on the construction for tight K-frame and the correlations between two tight K-frames and the involved operator K.国家自然科学基金(61170324); 天元基金(11226099); 福建省自然科学基金(2012J01005); 福建省教育厅资助科技项目(JA11100); 福州大学科研启动项目(022410); 福州大学科技发展基金项目(2012-XQ-29

无线传感器网络时间同步综述

无线传感器在网络应用时要求传感器节点保持时间同步,但传统的时间同步方法并不适用于无线传感器网络。为此,指出设计时间同步协议所面临的问题,对现有无线传感器网络时间同步算法进行总结,分析典型算法对时钟偏差和时钟漂移的处理,并给出进一步的研究方向

Survey on Time Synchronization in Wireless Sensor Network

无线传感器在网络应用时要求传感器节点保持时间同步,但传统的时间同步方法并不适用于无线传感器网络。为此,指出设计时间同步协议所面临的问题,对现有无线传感器网络时间同步算法进行总结,分析典型算法对时钟偏差和时钟漂移的处理,并给出进一步的研究方向

Clustering-wireless-sensor-network-orientated two-stage adaptive frequency-hopping method

本发明涉及一种面向分簇无线传感器网络的两级自适应跳频方法,包括以下步骤:构建分簇无线传感器网络;基于上述分簇无线传感器网络的拓扑结构定义基于IEEE?802.15.4的超帧结构;基于原有IEEE?802.15.4的介质访问控制层信标帧格式,扩展信标帧载荷的内容;基于上述超帧结构以及扩展后的IEEE?802.15.4的介质访问控制层的信标帧,实现网络中节点的两级自适应跳频过程。本发明方法采用分簇无线传感器网络,扩大了网络规模,降低了维护和管理的难度,提高了系统的灵活性;设计了两级跳频方法,保证了对IEEE?802.15.4的兼容性和系统的可靠性;基于IEEE?802.15.4的信标帧载荷,在信道切换过程中不需要设计专门的帧用于广播信道分配结果,简化了网络设计,减少了用于控制的帧的数量,提高了网络吞吐量

Industrial wireless network frequency-domain polling method based on OFDM technology

本发明涉及工业无线网络技术，具体地说是一种基于OFDM技术的工业无线网络频域轮询方法。本发明包括以下步骤：轮询初始配置：AP为新加入网络的节点分配轮询组ID和子载波ID；OFDM频域轮询：AP发送轮询请求报文，节点收到轮询请求报文后，AP在频域利用OFDM子载波进行响应；TDMA时隙分配和节点数据传输：AP根据各个被轮询节点的响应情况，为需要数据传输的节点分配TDMA时隙；节点收到TDMA时隙分配结果后，在对应的时隙内进行数据传输。本发明在充分考虑工业无线网络应用特点的前提下提出的，能够减少网络协议开销、提高带宽利用率和网络有效吞吐量，进而提升网络的实时性和规模