In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform-a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.

在过去的40年里，机器视觉已经发展成为一个成熟的领域，囊括了广泛的应用，包括监视、自动检查、机器人装配、车辆引导、交通监测和控制、签名验证、生物识别测量和遥感图像分析。虽然研究人员和行业专家继续记录他们在这一领域的工作，但对于专业人员和研究生来说，要很好地理解基本理论和实际情况以设计他们自己的算法和系统已经变得越来越困难。本书直接解决了这一需求。和以前的版本一样，E.R. Davies用高度易懂的散文和图片清楚而系统地介绍了该领域的基本概念，涵盖了理论的基本要素，同时强调了算法和实际设计的限制。在这个彻底更新的版本中，他将材料分为一个完整的机器视觉系统的水平层次。应用案例研究展示了具体的技术，并说明了设计真实世界机器视觉系统的关键约束。包括2-D和3-D场景分析的扎实、易懂的覆盖面。 Â-提供Hough变换的彻底处理--检查和监视的关键技术。