基于FPGA和双DSP的实时图像处理器设计

为满足高速实时图像处理的要求,提出一种基于FPGA互联的.以两片TMS320C6416为核心图像数据处理单元的并行系统结构.其中DSP负责图像处理,FPGA负责实现整个系统的数字逻辑及12C总线的配置,实现以FPGA作为主DSP协处理器的方式增加了该系统的灵活性及实时性.结果表明,在基于PCI总线的高速图像数据通道下,该系统可用来进行视频图像的高速采集工作,能够实现快速傅里叶变换、边缘检测等图像处理算法,满足实时图像处理的要求.     

基于FPGA的实时图像采集系统

针对实时图像采集系统数据量大,实时性强的特点,提出了一种基于FPGA的解决方案;在单片FPGA芯片上完成整个系统的软硬件设计,集成度高,可靠性强;图像的采集、存储及显示都采用硬件逻辑实现,此外,用逻辑实现处理算法,经几个时钟周期的延时就完成了图像处理,充分体现了FPGA并行处理的优势;实验表明,该系统较好地满足了系统的实时处理要求。     

基于FPGA的实时图像采集与分析系统设计

当今社会通信技术的发展促进了视频技术的运用,而视频图像分析技术在安防、娱乐、交通等领域受到了广泛的关注并遇到一些挑战;而近些年FPGA的稳定可靠、研发周期短等特性和该技术的成熟运用为图像的采集分析提供了一个新的方向;因此文章研究分析将FPGA运用到实时图像采集分析系统的技术;分析方法从介绍软硬件基础入手,硬件分析中主要讲解了各个功能模块的硬件选则和工作原理,软件部分分析了图像处理的算法并通过仿真检验算法;最后利用视频库资源的实验表明,系统可以完成对图像信息的读取、存储、算法检测、显示等功能,尽管存在一定的不足;从而得出结论:基于FPGA芯片技术为核心的系统可以完成对实时图像的采集与分析功能,较好地满足了系统对实时性的要求。     

基于FPGA的高速图像采集/处理卡

以高性能FPGA作为核心的高速图像采集处理卡,较好的满足了大多数图像处理系统中数据量大,实时性强的要求.同时,在FPGA中用硬件描述语言实现了图像的预处理算法,相对于软件实现的预处理算法具有极大的速度优势,简化了后续处理软件的工作量,大大提高整个图像处理系统的速度和效率.     

基于FPGA的实时图像边沿检测系统的实现

边缘检测是图像处理中一个重要的分支,它的实现对于进行更高层次的图像识别和理解等有着重大的影响。系统采用FPGA+SDRAM实现了实时图像的边沿检测。硬件采用流水线与并行处理的方式,提高了图像处理的速率;算法实现结合了硬件语言编程与IP核模块,减小了开发周期,增强了系统的灵活性。实验结果显示,该系统能够有效地实现实时图像的边沿检测,且检测效果较好,能够满足后续图像处理的需求。     

基于FPGA的图像处理算法的研究

随着科学技术不断发展,微电子技术取得了进一步发展,实时图像处理逐渐渗透在多媒体、图像等领域中,其中FPGA作为一项硬件图像处理技术,在提高图像处理质量和效率等方面具有十分重要的作用,如何更好地使用FPGA实现对图像的处理受到业内越来越多的重视。本文将对FPGA概念和系统总体设计方案进行分析和研究,并提出基于FPGA图像处理算法,从而为实际图像处理工作提供支持。     

基于FPGA和Qt的图像处理系统设计

针对CIS图像采集与处理系统实时性高、功耗低、体积小、图像处理类型多样的要求,设计了一种以FPGA为主处理器,Qt软件为协处理器的单通道CIS图像采集处理系统。利用FPGA集成度高、速度快的优点,完成图像的前端采集和预处理;Qt软件实时显示图像,并可根据需要调用其丰富的库资源,完成各种复杂的图像处理操作。系统有通用性强易于升级的特点,加载上相应的软硬件程序之后,可实现对图像的采样、预处理、传输、PC端实时显示及后续处理等功能。详细分析了系统的设计思路及实现方式,并在软硬件平台上进行了算法仿真和功能验证。实验结果表明：该系统实时性好,图像处理功能强大,灵活性好,能满足设计要求。     

基于FPGA图像处理技术在钢板表面缺陷检测系统中的应用

为了解决钢板表面缺陷视觉检测系统中图像处理的瓶颈问题,采用基于FPGA的嵌入式处理系统完成大数据量、实时、在线的处理任务,从而满足高速、宽幅、高分辨率的检测要求.嵌入式系统以Altera公司最新的Stratix FPGA作为核心处理器,在分析FPGA专有的硬件结构基础上,对图像处理中的模板卷积算法进行了优化设计,采用Verilog语言对算法完成建模与实现,并在Quartus Ⅱ平台进行了仿真验证.实验与算法仿真证明嵌入式处理系统的可行性与工程实用性,从而表面缺陷检测系统中的图像信息实时处理这一关键问题得以解决.     

基于FPGA的视频图像采集及监控系统设计

本文介绍了一种采用FPGA实现视频图像采集与处理的技术.并对视频系统的四个主要组成部分--视频图像采集、存储、监视处理算法和视频显示输出进行了较为详细的讨论.系统采用了IP核模块的设计方法.主要用VHDL语言进行逻辑设计,运用了软硬件协同设计技术.实验结果表明,该系统充分发挥了FPGA器件的并行特性,显著提高了图像处理速度.并运用基于聚类的视频图像目标识别算法,较好地实现了动态图像的实时监视、识别和报警.     

FPGA+DSP实时三维图像信息处理系统

一种基于高性能FPGA+DSP核心架构的实时三维图像信息处理系统。介绍了系统硬件结构和数据处理流程,按模块分析了硬件设计和逻辑连接,给出了图像预处理和三维重建算法的硬件实现流程。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.