Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval

@article{Koskela2004EntropybasedMF,
  title={Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval},
  author={Markus Koskela and Jorma Laaksonen and Erkki Oja},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={2},
  pages={1005-1008 Vol.2}
}
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for which automatic extraction methods are available. For the development of CBIR applications, an important issue is to have efficient and objective performance assessment methods for… CONTINUE READING