Histogram refinement for content-based image retrieval

@inproceedings{Pass1996HistogramRF,
  title={Histogram refinement for content-based image retrieval},
  author={Greg Pass and Ramin Zabih},
  booktitle={WACV},
  year={1996}
}
Color histograms are widely used for content-based image retrieval. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, a histogram is a coarse characterization of an image, and so images with very different appearances can have similar histograms. We describe a technique for comparing images called histogram refinement, which imposes additional constraints on histogram based matching. Histogram refinement splits the pixels in a given bucket into… CONTINUE READING
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