Retrieval of gamma corrected images

نویسنده

  • Andreas Siebert
چکیده

This paper presents a histogram based image retrieval system for environments where the images may be subject to gamma correction. The images are transformed into representations that are invariant under gamma correction. The differential invariant employed is a local feature implemented with derivatives of the Gaussian. The image retrieval is based on feature histograms computed from the invariant representations. The invariant provides a generic method to trade off derivatives for an unknown power law parameter.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2001