Texture analysis for seabed classification: Co-occurrence matrices vs self-organizing maps

N. Pican, E. Trucco, M. Ross, D. M. Lane, Y. Petillot, I. Tena Ruiz

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

This paper considers two well-known pattern recognition techniques using texture analysis. The first is the co-occurrence matrix method which relies on statistics and the second is the Kohonen Map which comes from the artificial neural networks domain. Both methods are used as feature extraction methods. The extracted feature vectors are fed to a second Kohonen map used as classifier. We report briefly some results of our experimental assessment of the merit of each technique when applied to the problem of classifying seabed from sequences of real images.

Original languageEnglish
Pages (from-to)424-428
Number of pages5
JournalOceans Conference Record
Volume1
Publication statusPublished - 1998
EventProceedings of the 1998 Oceans Conference. Part 1 (of 3) - Nice, Fr
Duration: 28 Sep 19981 Oct 1998

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