http://www.cnr.it/ontology/cnr/individuo/prodotto/ID248851
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
- Pagina fine
- 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
- Note
- 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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