2006, English, Article edition: General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation Debayle, Johan; Gavet, Yann; Pinoli, Jean-Charles

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Bookmark: http://trove.nla.gov.au/version/203862
Physical Description
  • text
Published
  • HAL - CCSD
  • 2006
Language
  • English

Edition details

Title
  • General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation
Author
  • Debayle, Johan
  • Gavet, Yann
  • Pinoli, Jean-Charles
Published
  • HAL - CCSD
  • 2006
Physical Description
  • text
Subjects
Notes
  • This paper aims to outline the General Adaptive Neighborhood Image Processing (GANIP) approach [1–3], which has been recently introduced. An intensity image is represented with a set of local neighborhoods defined for each point of the image to be studied. These so-called General Adaptive Neighborhoods (GANs) are simultaneously adaptive with the spatial structures, the analyzing scales and the physical settings of the image to be addressed and/​or the human visual system. After a brief theoretical introductory survey, the GANIP approach will be successfully applied on real application examples in image restoration, enhancement and segmentation.
  • HAL:hal-00128111, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00128111/​en/​
Language
  • English
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