农业专家系统平台设计与实现

在众多的农业信息技术中，以专家系统为代表的智能化农业信息技术的作用尤为突出 。农业专家系统平台是用于开发农业专家系统的工具。介绍了一个农业专家系统平台的 设计和实现，并讨论了几种关键技术；最后给出了一个使用这个平台开发的专家系统实例。     

通用组态软件在实时控制系统的应用

本文提供了一个实例,说明如何利用面向对象的分析和设计方法,使用通用组态软件来实现一个实时控制系统。该系统是用在生产线上的一个综合测试平台,本系统已经使用组态软件MCGS实现了。     

玩转DC白平衡

使用过数码相机的朋友,一定会注意到在数码相机的调节中,除了有传统相机中常见的光圈、快门和感光度等调节外,还有一个特殊的调节,那就是“白平衡”(WhiteBalance)调节。这个调节是传统相机中没有的,那么这个白平衡到底是什么?调节白平衡到底有什么特殊的作用呢?我们今天就专门来谈谈数码相机的白平衡调节问题。     

玩转DC白平衡

使用过数码相机的朋友．一定会注意到在数码相机的调节中，除了有传统相机中常见的光圈、快门和感光度等调节外，还有一个特殊的调节．那就是“白平衡”（White Balance）调节。这个调节是传统相机中没有的．那么这个白平衡到底是什么？调节白平衡到底有什么特殊的作用呢？我们今天就专门来谈谈数码相机的白平衡调节问题。     

还我本色——玩转数码相机的白平衡

使用过数码相机的朋友．一定会注意到在数码相机的调节中．除了有传统相机中常见的光圈、快门和感光度等调节外．还有一个特殊的调节，那就是“白平衡”(Whjte Balarlce)调节。这个调节是传统相机中没有的，那么这个白平衡到底是什么?调节白平衡到底有什么特殊的作用呢？我们今天就专门来谈谈数码相机的白平衡调节问题。     

新型嵌入式实时数字影像系统设计和实现

嵌入式数字影像系统广泛地应用于数码相机、数码摄像机、照相手机等消费电子产品中,而采用CMOS Sensor的嵌入式系统目前主要使用于摄像头、拍照手机、低档数码相机等低分辨率、非实时、专用系统中。该文提供了一种可使用2百万像素以上CMOS Sensor与ARM—Core的嵌入式实时数字影像系统设计与实现,这个设计可以应用于中、高档数码相机、数码摄像机和Smart phone等产品,也可以替代现有采用CCD Srnsor的产品,并具有图像质量好、低功耗、低成本、高软件通用性、电路设计简单等优点。     

基于云计算的大规模网页日志挖掘研究

互联网上的数据规模大、种类多、变化快,而且越来越复杂。通过数据挖掘和分析,可以获取有潜在价值的信息。但是,传统的数据挖掘系统在数据存储和计算性能上存在瓶颈。通过使用云计算技术,设计了一个基于Hadoop架构的网页日志数据挖掘和分析平台来解决这个问题。同时,为了提高挖掘效率,为大规模网页日志挖掘实现了Apriori算法的并行化,并使用该平台验证了该行算法的效率。     

基于云计算的大规模网页日志挖掘研究

互联网上的数据规模大、种类多、变化快,而且越来越复杂。通过数据挖掘和分析,可以获取有潜在价值的信息。但是,传统的数据挖掘系统在数据存储和计算性能上存在瓶颈。通过使用云计算技术,设计了一个基于Hadoop架构的网页日志数据挖掘和分析平台来解决这个问题。同时,为了提高挖掘效率,为大规模网页日志挖掘实现了Apriori算法的并行化,并使用该平台验证了该行算法的效率。     

电脑病毒会损害数码相机吗?

现在拥有数码相机的朋友是越来越多了,其中不少朋友因为数码相机在W indows系统中可以当成移动磁盘来使用,所以有时候用它来拷贝一些较大的文件。笔者的一位朋友也是这样做,但一次他用数码相机从公司那里拷贝了一些文件,回来以后才发现这些文件都被感染了病毒,想到昔日的CIH病毒,他十分担心自己昂贵的数码相机会被破坏,所以半夜两点多还给我来电话询问!那么病毒会不会破坏数码相机中的程序呢?相信很多朋友都这样的疑问。其实,以在目前的情况下,你还不用担心这个问题,因为我们所拷贝的文件和拍摄得到的相片都是存放在数码相机的存储部件中…     

基于CSCW的办公自动化系统

介绍了在OA系统中使用的CSCW技术。通过分析OA系统的特点,建立了一个基于CSCW的OA系统模型。根据这个模型,为某单位实际设计出了一个基于Lotus Domino6.0平台的OA应用系统。给出了该系统的功能模块和网络拓扑结构,总结了基于CSCW的OA系统的优势。     

Distributed embedded smart cameras for surveillance applications

Recent advances in computing, communication, and sensor technology are pushing the development of many new applications. This trend is especially evident in pervasive computing, sensor networks, and embedded systems. Smart cameras, one example of this innovation, are equipped with a high-performance onboard computing and communication infrastructure, combining video sensing, processing, and communications in a single embedded device. By providing access to many views through cooperation among individual cameras, networks of embedded cameras can potentially support more complex and challenging applications - including smart rooms, surveillance, tracking, and motion analysis - than a single camera. We designed our smart camera as a fully embedded system, focusing on power consumption, QoS management, and limited resources. The camera is a scalable, embedded, high-performance, multiprocessor platform consisting of a network processor and a variable number of digital signal processors (DSPs). Using the implemented software framework, our embedded cameras offer system-level services such as dynamic load distribution and task reconfiguration. In addition, we combined several smart cameras to form a distributed embedded surveillance system that supports cooperation and communication among cameras.     

Human detection using a mobile platform and novel features derived from a visual saliency mechanism

Human detection is a key ability to an increasing number of applications that operates in human inhabited environments or needs to interact with a human user. Currently, most successful approaches to human detection are based on background substraction techniques that apply only to the case of static cameras or cameras with highly constrained motions. Furthermore, many applications rely on features derived from specific human poses, such as systems based on features derived from the human face which is only visible when a person is facing the detecting camera. In this work, we present a new computer vision algorithm designed to operate with moving cameras and to detect humans in different poses under partial or complete view of the human body. We follow a standard pattern recognition approach based on four main steps: (i) preprocessing to achieve color constancy and stereo pair calibration, (ii) segmentation using depth continuity information, (iii) feature extraction based on visual saliency, and (iv) classification using a neural network. The main novelty of our approach lies in the feature extraction step, where we propose novel features derived from a visual saliency mechanism. In contrast to previous works, we do not use a pyramidal decomposition to run the saliency algorithm, but we implement this at the original image resolution using the so-called integral image. Our results indicate that our method: (i) outperforms state-of-the-art techniques for human detection based on face detectors, (ii) outperforms state-of-the-art techniques for complete human body detection based on different set of visual features, and (iii) operates in real time onboard a mobile platform, such as a mobile robot (15 fps).     

基于P2P模式的数字城市服务模式及平台设计

对等网技术(P2P)已经在分布式计算系统中获得了广泛的应用,数字城市中的服务本质上也是对等的。本文提出基于P2P模式的数字城市服务管理系统,并对平台设计、实现进行了探讨。     

基于 TD_SCDMA 电子相框的照片分享方案

随着数码相机的普及,拍摄的数码照片呈几何级数增加,除了少部分会被冲洗成纸质照片以外,大部分数码照片都会被保存在电子存储设备中。电子相框是非常适合的存储设备,兼具展示数码照片的功能,近年来正在蓬勃发展。本文分析了电子相框发展的现状和业务需求,针对传统电子相框面临照片更新与共享的问题,提出了一种基于TD_SCDMA（Time Division-Synchronous Code Division Multiple Access）的照片分享方案,将电子相框接入UMTS（Universal Mobile Telecommunications System,通用移动通信系统）,采用电子相框统一服务平台实现了照片在手机、电脑和电子相框之间的无缝分享。     

A new active visual system for humanoid robots.

In this paper, a new active visual system is developed, which is based on bionic vision and is insensitive to the property of the cameras. The system consists of a mechanical platform and two cameras. The mechanical platform has two degrees of freedom of motion in pitch and yaw, which is equivalent to the neck of a humanoid robot. The cameras are mounted on the platform. The directions of the optical axes of the two cameras can be simultaneously adjusted in opposite directions. With these motions, the object's images can be located at the centers of the image planes of the two cameras. The object's position is determined with the geometry information of the visual system. A more general model for active visual positioning using two cameras without a neck is also investigated. The position of an object can be computed via the active motions. The presented model is less sensitive to the intrinsic parameters of cameras, which promises more flexibility in many applications such as visual tracking with changeable focusing. Experimental results verify the effectiveness of the proposed methods.     

Real-time auto white balancing for digital cameras using discrete wavelet transform-based scoring

In digital cameras, the process of making white colors to appear as white under different illuminants is referred to as auto white balancing. This paper presents an auto white balancing algorithm, named discrete wavelet transform (DWT)-based scoring, which is computationally much more efficient than the original auto white balancing scoring algorithm. Its computational efficiency is thus utilized to achieve a real-time implementation on an actual digital camera platform. The platform consists of the Texas Instruments TMS320DM320 programmable processor which is specifically designed for the digital camera market. The real-time implementation results indicate the effectiveness of this algorithm in identifying a scene illuminant as compared to the widely used gray-world auto white balancing algorithm.     

The integration of digital camera derived images with a computer based diabetes register for use in retinal screening

Exeter district provides a retinal screening service based on a mobile non-mydriatic camera operated by a dedicated retinal screener visiting general practices on a 2-yearly cycle. Digital attachments to eye cameras can now provide a cost effective alternative to the use of film in population based eye screening programmes. Whilst the manufacturers of digital cameras provide a database for the storage of pictures, the images do not as yet interface readily with the rest of the patient's computer held data or allow for a sophisticated grading, reporting and administration system. The system described is a development of the Exeter diabetes register (EXSYST) which can import digitally derived pictures from either Ris-Lite TM and Imagenet TM camera systems or scanned Polaroids Pictures can be reported by the screener, checked by a consultant ophthalmologist via the hospital network, and a report, consisting of colour pictures, map of relevant pathology and referral recommendations produced. This concise report can be hard copied inexpensively on a high resolution ink-jet printer to be returned to the patient's general practitioner. Eye images remain available within the hospital diabetes centre computer network to facilitate shared care. This integrated system would form an ideal platform for the addition of computer based pathology recognition and total paperless transmission when suitable links to GP surgeries become available.     

基于构件技术的数字水印技术的实现

随着网络多媒体技术的兴起,图片的版权保护越来越成为一种迫切的需要。基于构件技术的Elastos作为下一代嵌入式消费类电子产品提供信息交换平台,在其上实现数字多媒体的共享成为一种必然,探讨了一种基于该平台的数字水印技术的实现方法,分析了线性和非线性过滤,JPEG压缩对于数字水印的健壮性的影响。结果显示,该数字水印技术能够检测出几乎所有的针对图片的微小变化。     

试飞测试中摄像机标定方法研究

随着数码相机技术和摄影测量技术的发展,越来越多的数字摄像机应用于试飞测试中,而摄像机标定是其成功应用于飞行试验的关键之一。为了突破试飞测试中现有的仅以点特征作为控制,充分利用现有设备条件,更好地解决加装在飞机上的摄像机在飞行过程中的实时标定问题,采取内标定与实时外标定两步实现摄像机标定的方法。着重探讨了一种基于平行直线的摄像机内标定方法,详细论述了基于灭点约束和直线几何约束的摄像机标定解算模型,该方法在无控制点的情况下可得到每个摄像机的内方位元素、各项畸变改正系数和外方位角元素;并简要介绍了基于单片后方交会的实时外标定方法。实际数据的试验结果表明,该方法切实可行,能够获得精确、稳定的参数结果,有效减少了摄像机标定过程中所需布设的控制点数,从而提高了试飞测试中精确测量导弹运动轨迹、机翼变形测量等工作的可实施性。     

基于多摄像头和一致性子集的乒乓球跟踪方法

乒乓球运动具有高速性,所以乒乓球跟踪必须满足低延迟和高采样率.为此,提出了一种基于最大一致性子集的乒乓球机器视觉跟踪方法.首先,使用启发式算法寻找目标像素的集合,确定乒乓球的位置;然后,为了纠正启发式算法可能的错误报告,移除离群点,对不同相机所报告的位置进行最大一致性检查,找到并丢弃在目标检测阶段中得到的错误位置;最后...