Image retrieval with visually prominent features using fuzzy set theoretic evaluation

@inproceedings{Banerjee2006ImageRW,
  title={Image retrieval with visually prominent features using fuzzy set theoretic evaluation},
  author={Minakshi Banerjee and Malay Kumar Kundu and P. K. DaS},
  year={2006}
}
This paper proposes a new image retrieval scheme using visually significant features. Clusters of points around significant curvature regions (high, medium, weak type) are extracted to obtain a representative image. Illumination, viewpoint invariant color features are computed from those points for evaluating similarity between images. Relative importance of the features is evaluated using a fuzzy entropy based measure computed from relevant and irrelevant set of the retrieved images marked by… CONTINUE READING

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