Describes all the hardware and software necessary for industrial applications of both image acquisition and image processing, covering latest advances in 3D. Num Pages: 848 pages. BIC Classification: UYQV. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2017. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Handbook of Machine and Computer Vision
Publisher: Wiley-VCH Verlag GmbH
Publication Date: 2017
Language: English
ISBN 10: 3527413391
ISBN 13: 9783527413393
Binding: Hardcover
Edition: 2nd Edition
Condition: New

About this title

Synopsis

The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging.
Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software. The authors approach the subject in terms of industrial applications, elucidating such topics as illumination and camera calibration. Initial chapters concentrate on the latest hardware aspects, ranging from lenses and camera systems to camera-computer interfaces, with the software necessary discussed to an equal depth in later sections. These include digital image basics as well as image analysis and image processing. The book concludes with extended coverage of industrial applications in optics and electronics, backed by case studies and design strategies for the conception of complete machine vision systems. As a result, readers are not only able to understand the latest systems, but also to plan and evaluate this technology.
With more than 500 images and tables to illustrate relevant principles and steps.

About the Author

The editor, Alexander Hornberg, worked as development and software engineer in industry. Since 1997 he has been working in the field of machine vision in an academic environment. He is Professor for Image Processing and Applied Optics at the University of Applied Sciences Esslingen, Germany.
All contributors to this work are written by practitioners from leading companies which operate in the field of computer vision.

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