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 BMUhistogram 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. © Springer-Verlag; 2003.
CITATION STYLE
Hauta-Kasari, M., Miyazawa, K., Parkkinen, J., & Jaaskelainen, T. (2003). Searching technique in a spectral image database. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 927–933. https://doi.org/10.1007/3-540-45103-x_122
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