Incremental clustering of sonar images using self-organizing maps combined with fuzzy adaptive resonance theory

HIGHLIGHTS

  • who: Ahmed Nait Chabane and collaborators from the 285), rue Francois Verny, Brest , France University Peshawar have published the research work: Incremental clustering of sonar images using self-organizing maps combined with fuzzy adaptive resonance theory, in the Journal: (JOURNAL)
  • what: In this work, a new approach for unsupervised segmentation of sidescan sonar images is proposed.
  • how: In this work the following Haralick features are used Entropy Contrast Heterogeneity Homogeneity Correlation Maximum of probability Kurtosis and Elongation Factor. Several methods of texture analysis are proposed in the literature in this work different features . . .

     

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