Self-organizing maps for texture classification

  title={Self-organizing maps for texture classification},
  author={Nedyalko Petrov and Antoniya Georgieva and Ivan Jordanov},
  journal={Neural Computing and Applications},
A further investigation of our intelligent machine vision system for pattern recognition and texture image classification is discussed in this paper. A data set of 335 texture images is to be classified into several classes, based on their texture similarities, while no a priori human vision expert knowledge about the classes is available. Hence, unsupervised learning and self-organizing maps (SOM) neural networks are used for solving the classification problem. Nevertheless, in some of the… CONTINUE READING


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3 Excerpts