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Information Mining: Applications in Image Processing

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SOFSEM 2000: Theory and Practice of Informatics (SOFSEM 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1963))

Abstract

In response to an explosive growth of collected, stored, and transferred data, Data Mining has emerged as a new research area. However, the approaches studied in this area are mostly specialized to analyze precise and highly structured data. Other sources of information— for instance images—have often been neglected. The term Information Mining wants to emphasize the need for methods suited for more heterogeneous and imprecise information sources. We also claim the importance of fuzzy set methods to meet the prominent aim of to producing comprehensible results. Two case studies of applying information mining techniques to remotely sensed image data are presented.

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Author information

Authors and Affiliations

  1. Dept. of Knowledge Processing and Language Engineering, Otto-von-Guericke-University of Magdeburg, D-39106, Magdeburg, Germany

    Rudolf Kruse & Aljoscha Klose

Authors
  1. Rudolf Kruse
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  2. Aljoscha Klose
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Editor information

Editors and Affiliations

  1. Department of Cybernetics, Czech Technical University, Karlovo nám. 13, 121 35, Prague, Czech Republic

    Václav Hlaváč

  2. Information Technology Department, CLRC RAL, Chilton, Didcot, Oxfordshire, UK

    Keith G. Jeffery

  3. Insitute of Computer Science, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 2, 182 07, Prague, Czech Republic

    Jiří Wiedermann

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© 2000 Springer-Verlag Berlin Heidelberg

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Kruse, R., Klose, A. (2000). Information Mining: Applications in Image Processing. In: Hlaváč, V., Jeffery, K.G., Wiedermann, J. (eds) SOFSEM 2000: Theory and Practice of Informatics. SOFSEM 2000. Lecture Notes in Computer Science, vol 1963. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44411-4_16

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  • DOI: https://doi.org/10.1007/3-540-44411-4_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41348-6

  • Online ISBN: 978-3-540-44411-4

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