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Hierarchical Knowledge Structure Applied to Image Analyzing System - Possibilities of Practical Usage

  • Krzysztof Wójcik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6908)

Abstract

This article describes a proposition and first examples of using inductive learning methods in building of the image understanding system with the hierarchical structure of knowledge. This system may be utilized in various task of automatic image interpretation, classification and image enhancement. The paper points to the essential problems of the whole method: the constructing an effective algorithm of conceptual clustering and creation of the method of knowledge evaluation. Some possible solutions are discussed and first practical results (image filtering) are presented.

Keywords

image understanding pattern recognition image processing knowledge engineering machine learning cognitive informatics 

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Krzysztof Wójcik
    • 1
  1. 1.Institute of Computer SciencePedagogical University of CracowKrakówPoland

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