By
E. R. Davies, Royal Holloway, University of London, U.K.
Description
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.
Included in series
Signal Processing and its Applications
Audience:
Academic and industry researchers in computer science and computer engineering particularly in machine vision, computer vision, and robotics.
