Component-based visual clustering using the self-organizing map


In this paper we present a new method for visual clustering of multi-component images such as trademarks, using the topological properties of the self-organizing map, and show how it can be used for similarity retrieval from a database. The method involves two stages: firstly, the construction of a 2D map based on features extracted from image components… (More)
DOI: 10.1016/j.neunet.2006.10.004


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