Self-Organizing Feature Maps in Texture Classification and Segmentation
Olli Simula and Ari Visa
Helsinki University of Technology
Laboratory of Information and Computer Science
Rakentajanaukio 2 C, SF-02150 Espoo
Finland
Abstract
Textures and self-organizing feature maps have recently been shown to be
applicable in many areas of image analysis. In this paper, some texture-based
classification and segmentation examples are described.
In International Conference on Artificial Neural Networks ,
Brighton, United Kingdom, September 4-7, 1992.
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