Searching Technique in a Spectral Image Database

  • Markku Hauta-Kasari
  • Kanae Miyazawa
  • Jussi Parkkinen
  • Timo Jaaskelainen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

We propose a technique for searching images from a spectral image database. In the current stage, the technique uses spectral color information. The technique is based on the Self-Organizing Map (SOM), which is used to create the Best-Matching Unit (BMU) histograms for every spectral image in a database. Searching program calculates BMU-histogram for the wanted spectral image, and then the histogram similarities between the wanted BMU-histogram and the BMU-histogram database are calculated. The search result is shown as images that are ordered according to the histogram similarity. The searching technique and the current experimental results are reported.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Markku Hauta-Kasari
    • 1
  • Kanae Miyazawa
    • 1
  • Jussi Parkkinen
    • 1
  • Timo Jaaskelainen
    • 2
  1. 1.Department of Computer ScienceUniversity of JoensuuJoensuuFinland
  2. 2.Department of PhysicsUniversity of JoensuuJoensuuFinland

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