目前，在医疗诊断、工业自动检测与控制、智能机器人、交通、通讯、地质等领域，计算机图像处理技术己经得到了广泛应用。
Presently, this technology has been widely applied to many fields, such as medical diagnoses, industrial automatic measuring and control, intelligent robot, transportation, communication and geology.
交通网络中最短路径的搜索是地理信息科学与计算机科学等领域的研究热点。
Searching for the shortest path in the net of urban communications is the research focus of geographical information and computer science.
智能交通系统中图像处理技术是利用数字图像处理与计算机视觉相结合的方法，获得智能交通系统所需要的信息。
Image processing technology in the ITS utilizes method of image processing together with computer vision, obtains useful information which ITS needs.
采用PLC与计算机之间的通讯链接技术，完成交通对象的复杂控制。
The information link between PLC and computers is adopted to perform the complicated control of notation scale.
该模型具有既能够进行交通控制信号优化与交通阻塞机理解析应用，又便于计算机软件实现的优点。
Thess models have advantages to carry on the traffic control signal optimization and the traffic jam mechanism analysis. Furthermore, it is easily for the computer software realization.
智能交通系统中的交通检测与信息采集已经成为计算机视觉技术应用的一项重要课题，而运动车辆的自动检测、阴影去除、识别与跟踪则是其中最基础的部分。
The application of computer vision technology to traffic detecting and information collecting is an important subject in ITS, and moving vehicle detecting, recognition and tracking is the basic part.
中欧国际工商学院MBA，上海交通大学计算机科学与工程学士。拥有10年管理咨询行业经验。
MBA from China Europe International Business School (CEIBS), Bachelor of Engineering from Shanghai Jiao Tong University. He has 10 years of management consulting experience.
车牌自动识别技术是计算机视觉与模式识别技术在智能交通领域应用的重要研究课题之一。
The purpose of transporting systems is to facilitate the automatic management. Therefore, LPR is the key technology to achieve the demand of ITS.
车牌自动识别技术是计算机视觉与模式识别技术在智能交通领域应用的重要研究课题之一。
The purpose of transporting systems is to facilitate the automatic management. Therefore, LPR is the key technology to achieve the demand of ITS.
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