基于连通区域和统计特征的图像文本定位

文本定位是图像中文本提取的前提与基础。针对场景图像中背景复杂和光照影响,提出一种由粗略到精确的文本定位算法。该算法首先在边缘图像上利用连通区域分析进行粗略定位得到文本候选区域,然后提取候选区域的方向梯度直方图特征和改进的局部二值模式特征进行分类,去除虚假文本达到精确定位。仿真实验结果表明,该算法能够有效地降低背景复杂与光照不均的影响,在场景图像中准确地定位文本区域。     

摄像头阅卷系统关键技术的分析与应用

在分析各类图像阅卷系统的基础上,阐述了摄像头阅卷系统中需要解决的关键技术问题有：对光照不均的图像处理,透视变形图像的校正处理。提出对图像进行二值化处理时采用局部平均阈值解决光照不均匀的问题;采用的基于矩形角点几何变换的畸变图像校正算法,分两步完成图像的倾斜校正和透视校正,并给出了变换公式。实践表明系统中采用的算法处理速度快、畸变图像校正效果好,图像识别率高,达到实用要求。     

基于特征分类的麻将图像光照不均校正方法

针对麻将排版视觉检测装置采集到的图像存在光照不均问题,提出了一种基于麻将特征分类的自适应图像校正方法。通过对麻将的排版特征进行分析,采用背景差分法和投影法将整体排版麻将灰度图从采集图像中分割出来;将整体排版麻将划分为多个单个麻将,并通过对单个麻将的光照特征进行分析,将单个麻将按光照类型分为均匀类麻将、阴影类麻将和高光类麻将共三类;对阴影类麻将和高光类麻将进行均值归一化处理,再对麻将图像进行整体锐化,并结合色度分量增强麻将的图案特征;根据麻将噪声特征,基于空域幅值统计去除阴影类麻将中的图像噪点。实验结果表明,与现有方法相比,该方法能更好地改善麻将图像光照不均现象,处理后的图像有效地提高了麻将排版识别率。     

基于聚类与边缘检测的自然场景文本提取方法

为了解决复杂自然场景、光照不均匀及背景纹理丰富图像中文本的有效提取,提出一种基于K-means聚类与边缘检测结合的自然场景文本提取方法.该方法通过改进K-means聚类算法,实现文本区域的分割;然后对分割后的图像进行二值子图分解,将分解后的各子图像的连通区域进行标记与分析,得到候选的字符区域;最后利用文本区域的边缘特征对候选字符区域过滤,实现文本字符的提取.实验结果表明,该方法能有效提取出复杂背景、光照影响及背景纹理丰富图像中的文本字符区域.     

喷雾液滴图像亮度不均的校正方法

运用数字图像处理与分析的方法来研究燃油的喷雾特性是一种有益的尝试。由于光照不均而造成的燃油喷雾液滴图像亮度不均，致使图像不能够有效进行阈值分割。采用同态滤波和减去背景算法是校正亮度不均的方法，通过比较分析，指出了在燃油喷雾液摘图像处理过程中减去背景算法是一种更加有效的校正亮度不均的方法。     

视频目标跟踪中的提升分类算法

针对目标跟踪过程中各类图像特征分离背景和目标能力的动态变化,提出一种基于协同训练框架的在线提升分类特征选择算法.该算法采用两组特征描述目标与背景区域各像素,并分别训练一在线提升分类器对特征组进行选择,然后综合分类结果,得到最优似然图像,基于该似然图像,采用粒子滤波对目标进行琅踪并通过图像处理方法获得最佳前景分割图.该方法的主要优点是仅需对首帧图像进行训练,并在跟踪过程中通过协同训练在线更新提升分类器.同时,实验表明该算法运算速度快,并能适应环境光照变化、遮挡等恶劣条件.     

一种光照不均文本图像的校正算法

针对光照不均的文本图像在二值化后文字识别率底下的问题,文章提出了一种针对光照不均图像进行二值化和图像增强的算法。针对图像进行分块处理,根据每块自身的平均灰度值和均方差以及全图的平均灰度值来进行算法的自适应变换,已达到对不同光照的区块进行不同处理的目的。实验结果表明本算法能够比较有效的完成对光照不均的文本图像的处理,比单纯的二值化处理方法有一定的提高。     

基于图像分类与多算法协作的目标跟踪算法

针对目标变化和背景环境的变化,提出了一种基于图像分类的多算法协作的目标跟踪算法,采用融入改进背景加权的尺度方向自适应均值漂移算法与快速压缩算法协作的方式。该算法根据图像变化原因不同将图像分为两类,图像全局变化和目标局部感兴趣区域的变化。对由光照、背景相似度和背景模糊引起的图像全局变化,采用快速压缩算法对目标进行跟踪;对由目标本身尺寸、旋转和遮挡引起的目标局部感兴趣区域变化,采用融入改进背景加权尺度方向自适应均值漂移算法对目标进行跟踪。该算法先对图像序列预处理分类,然后选择适合该对应图像变化特点的算法对目标进行跟踪。经实验验证,该算法较之其他流行目标跟踪算法具有更好的鲁棒性。     

改进二值化算法在QR码识中的应用

研究了QR码图像二值化技术,针对光照不均的QR图像提出了一种改进的基于背景灰度估计的校正算法.该算法首先根据原图像大小进行分块处理,在此基础上利用改进的灰度估计公式计算分块的灰度值,然后利用双线性内插法设置区块灰度值为估计值,最后用原图像减去估计背景图像得到校正图像,以此克服了光照不均对二值化阈值选取的影响.实验证明,...     

复杂场景下基于Radon校正与MSER的文本定位算法研究

针对复杂场景下,由于文字背景复杂性而带来的文字定位不准确的问题,提出了一种Radon倾斜校正与MSER(最大稳定极值区域)结合的算法,基于该算法识别出文字在所处复杂背景中的位置。首先,对图像进行预处理,采用Canny算子对图像进行边缘检测,并利用Radon变换对倾斜图像进行校正。然后通过二进小波变换对图像进行增强处理,去除噪声。最后提取MSER,经过粗处理、细处理后,检测出文本所处位置。实验结果表明,基于Radon倾斜校正与MSER结合的方法,能够有效提高文本定位的准确率。     

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.     

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.     

法律信息库系统

本文分析了法律数据库的结构和特点，介绍了采用面向对象设计方法和超文本数据库技术开发和实现法律信息库系统将作为重要网络资源之一为不同用户进行法律咨询服务。     

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.     

International Journal of Automation and Computing Table of Contents

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Information for authors

正SCIENCE CHINA Information Sciences(Sci China Inf Sci),cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China,and published by Science China Press,is committed to publishing highquality,original results of both basic and applied research in all areas of information sciences,including computer science and technology;systems science,control science and engineering(published in Issues with odd numbers);information and communication engineering;electronic science and technology(published in Issues with even numbers).Sci China Inf Sci is published monthly in both print and electronic forms.It is indexed by Academic OneFile,Astrophysics Data System(ADS),CSA,Cabells,Current Contents/Engineering,Computing and Technology,DBLP,Digital Mathematics Registry,Earthquake Engineering Abstracts,Engineering Index,Engineered Materials Abstracts,Gale,Google,INSPEC,Journal Citation Reports/Science Edition,Mathematical Reviews,OCLC,ProQuest,SCOPUS,Science Citation Index Expanded,Summon by Serial Solutions,VINITI,Zentralblatt MATH.     

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

正Erratum to:J Zhejiang Univ-Sci C(ComputElectron)2014 15(7):551-563doi:10.1631/jzus.C1300320The original version of this article unfortunately contained mistakes.Algorithm 6 should be as follows:Algorithm 6 FGKFCM-F clustering Input:(1)X={x_1,x_2,…,x_N},,x_iR~d,i=1,2,…,N,the dataset;(2)C,1C≤N,the number of clusters;(3)ε0,the stopping criterion;     

Journal of Zhejiang University-SCIENCE C (Computers & Electronics) Total contents

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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.