Machine Vision Algorithms and Applications

by Carsten Steger, Markus Ulrich, Christian Wiedemann

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.

498 pages, Kindle Edition

First published December 26, 2007

Reviews

[hisuin · Rating 4 out of 5]

Good book about image processing, with a focus on industrial applications. Thorough explanations and full of examples. The parts on segmentation and smoothing could have been extended, I miss some basic details.

[Jacques]

Rather good, I thought!

[Donatas Skiedra]

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