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Davies, E. R. Machine Vision eBook

Machine Vision

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Imprint: Morgan Kaufmann

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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.

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Title of Computers eBook: Machine Vision
Release Date: 12-22-2004
Publisher: Morgan Kaufmann

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Parent title Machine Vision
Encrypted (DRM) Yes
SKU 9780080473246
File size 10834
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NoteExcellent navigation features are available via Adobe such as bookmarks and a quick access table of contents. Text search is easily accessible. An Adobe DRM-protected file is different than a pdf file in that it uses Adobe DRM (Digital Rights Management) technology, which authors and publishers use to protect their content from illegal online distribution and to set certain privileges such as restrictions on copying and printing.

Machine Vision


Chapter One

Vision, the Challenge

1.1 Introduction—The Senses

Of the five senses—vision, hearing, smell, taste, and touch—vision is undoubtedly the one that we have come to depend upon above all others, and indeed the one that provides most of the data we receive. Not only do the input pathways from the eyes provide megabits of information at each glance, but the data rate for continuous viewing probably exceed 10 megabits per second. However, much of this information is redundant and is compressed by the various layers of the visual cortex, so that the higher centers of the brain have to interpret abstractly only a small fraction of the data. Nonetheless, the amount of information the higher centers receive from the eyes must be at least two orders of magnitude greater than all the information they obtain from the other senses.

Another feature of the human visual system is the ease with which interpretation is carried out. We see a scene as it is—trees in a landscape, books on a desk, widgets in a factory. No obvious deductions are needed, and no overt effort is required to interpret each scene. In addition, answers are effectively immediate and are normally available within a tenth of a second. Just now and again some doubt arises—for example, a wire cube might be "seen" correctly or inside out. This and a host of other optical illusions are well known, although for the most part we can regard them as curiosities—irrelevant freaks of nature. Somewhat surprisingly, it turns out that illusions are quite important, since they reflect hidden assumptions that the brain is making in its struggle with

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