Applications

Jan Flusser,

Jan Flusser

Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

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Tomáš Suk,

Tomáš Suk

Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

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Barbara Zitová,

Barbara Zitová

Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

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Book Author(s):Jan Flusser,

Jan Flusser

Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

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Tomáš Suk,

Tomáš Suk

Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

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Barbara Zitová,

Barbara Zitová

Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic

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First published: 28 October 2016

https://doi.org/10.1002/9781119039402.ch9

Citations: 1

Summary

This chapter focuses on main categories of the image processing problems suited for application of moments. It discusses advice for successful application of moments. The chapter describes classes of algorithms include image understanding focused on different classes of analyzed objects, image registration, robot navigation and visual servoing, measures of image focus and image quality in general, image retrieval, image watermarking, medical imaging, image forensic applications, and finally the "miscellaneous" category. It discusses optical flow estimation and edge detection as well as the key issues of individual classes of algorithms. The chapter explains how instructions can be passed to the robot in other ways than through the program or some input device. It also discusses several other applications aiming at human-robot communications, such an application can be regarded as an example of image forensic, aiming at uncovering possible attacks and verifying copyrights.

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