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    <identifier>10.57760/sciencedb.05641</identifier>
    <datestamp>2022-11-27T21:56:06Z</datestamp>
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  <dc:date>2022-11-27</dc:date>
  <dc:title>Dataset for &amp;quot;Application of adaptive contrast enhancement algorithm based on particle swarm optimization in neutron radiography&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.05641</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The proposed adaptive contrast enhancement algorithm uses the particle swarm optimization algorithm to iteratively analyze the global pixels of the neutron image, and determines the key gain factor coefficients in the adaptive processing process, which can realize the automatic optimization and enhancement of image contrast. The algorithm is used to process multiple neutron images and compare and analyze the processing results with the traditional optimization algorithm. The data contains the execution code for the algorithm.</dc:description>
  <dc:subject>Neutron radiography; Image enhancement algorithm; Adaptive contrast enhancement; Particle swarm optimization</dc:subject>
  <dc:creator>Size Chen</dc:creator>
  <dc:creator>Xuning Cao</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11889/j.0253-3219.2021.hjs.44.070504</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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