Synopsis
"In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications. 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, Dr. Davies clearly and systematically presents the basic concepts on 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.
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Machine Vision: Theory, Algorithms, Practicalities
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