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Advantages of Fuzzy and Anytime Signal- and Image Processing Techniques - A Case Study

  • Teréz A. Várkonyi
Part of the Studies in Computational Intelligence book series (SCI, volume 378)

Abstract

Nowadays practical solutions of engineering problems always involve some kind of, preferably model-integrated, information processing task. Unfortunately, however, the available knowledge about the information to be processed is usually incomplete, ambiguous, noisy, or totally missing. Furthermore, the available time and resources for fulfilling the task are often not only limited, but can change during the operation of the system. All these facts seriously limit the effective usability of classical information processing algorithms which pressed researchers and engineers to turn towards non-classical methods and these approaches proved to be very advantageous. In this chapter, a brief overview is given about various imprecise, fuzzy and anytime, signal- and image processing methods and their applicability is discussed in treating the insufficiency of knowledge of the information necessary for handling, analyzing, modeling, identifying, and controlling of complex engineering problems.

Keywords

Membership Function Soft Computing Corner Detection Fuzzy Technique Information Processing Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Teréz A. Várkonyi
    • 1
  1. 1.Óbuda UniversityBudapestHungary

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