Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image Retrieval Based on LBP Pyramidal Multiresolution using Reversible
  Watermarking   In the medical field, images are increasingly used to facilitate diagnosis of
diseases. These images are stored in multimedia databases accompanied by doctor
s prescriptions and other information related to patients.Search for medical
images has become for clinical applications an essential tool to bring
effective aid in diagnosis. Content Based Image Retrieval (CBIR) is one of the
possible solutions to effectively manage these databases. Our contribution is
to define a relevant descriptor to retrieve images based on multiresolution
analysis of texture using Local Binary Pattern LBP. This descriptor once
calculated and information s relating to the patient; will be placed in the
image using the technique of reversible watermarking. Thereby, the image,
descriptor of its contents, the BFILE locator and patientrelated information
become a single entity, so even the administrator cannot have access to the
patient private data.

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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: cmp-lg
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The categories of this paper are: stat
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The categories of this paper are: quant-ph
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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
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The categories of this paper are: nlin
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The categories of this paper are: bayes-an
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The categories of this paper are: q-bio
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The categories of this paper are: q-fin
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The categories of this paper are: ao-sci
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The categories of this paper are: alg-geom
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The categories of this paper are: astro-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-lat