CNR Retrieval of Images from Hyper-Spectral Data through Interactive Network Access (CRISTINA) (Contributo in atti di convegno)

Type
Label
  • CNR Retrieval of Images from Hyper-Spectral Data through Interactive Network Access (CRISTINA) (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • F. Micheletti, L. Stefani, C. Cucci, M. Picollo (2013)
    CNR Retrieval of Images from Hyper-Spectral Data through Interactive Network Access (CRISTINA)
    in Electronic Imaging & the Visual Arts EVA2013, Firenze, 15-16 May 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • F. Micheletti, L. Stefani, C. Cucci, M. Picollo (literal)
Pagina inizio
  • 140 (literal)
Pagina fine
  • 145 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of Electronic Imaging & the Visual Arts EVA2013, 15-16 May 2013 Florence (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 6 (literal)
Note
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Applied Physics \"Nello Carrara\" - Italian National Research Council (IFAC-CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy (literal)
Titolo
  • CNR Retrieval of Images from Hyper-Spectral Data through Interactive Network Access (CRISTINA) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-88-6655-372-4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Vito Cappellini (literal)
Abstract
  • The IFAC-CNR hyper-spectral imaging system acquires cube-images at very high spatial and spectral resolution in the 400-900 nm range. The obtained data are used to study the composition of artists' materials, for true-colour reproduction of paintings, and for documenting the characteristic of the underdrawings and pentimenti. The current reluctance to make more than limited use of cube-images is due to issues related to the need for efficient filing and computing systems and to the lack of specific image processing skills. The experimental client/server platform developed at IFAC-CNR can be a solution to the hyper-spectral data using issue. The proposed IFAC-CNR platform is presented in this paper. (literal)
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