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Soft Data Fusion in Image Processing

  • Aureli Soria-Frisch

Abstract

Data fusion is a long term of research in image processing that is becoming more and more relevant owing to the complementary developments of computer and sensory technologies. Although operator research related to soft-computing, specially in the field of fuzzy systems, has evolved considerably during this last two decades, implemented frameworks of data fusion for image processing take seldom into consideration this kind of operators. Most of pattern recognition systems with image fusion are still based in basic operators, e.g. minimum or product. The purpose of the here presented tutorial is to analyze this fact, present some of the fuzzy aggregation operators in the context of data fusion for image processing and show some applications where the usage of the fuzzy integral, one of these operators, increased the performance of image processing systems considering data fusion.

Keywords

Input Image Data Fusion Aggregation Operator Fuzzy Measure Order Weight Average 
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 London 2002

Authors and Affiliations

  • Aureli Soria-Frisch
    • 1
  1. 1.Dept. Pattern RecognitionFraunhofer IPKBerlinGermany

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