Name
Title | ||
|---|---|---|
Segmentation of Multispectral Images of Works of Art through Principal Component Analysis |
Abstract | ||
|---|---|---|
Investigation of materials constituting painted layers of works of art (panels, canvas, frescoes) can be profitably done by means of non-destructive optical techniques based on the analysis of reflectance spectra in the visible and near infrared regions. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-63507-6_179 | ICIAP (1) |
Keywords | Field | DocType |
multispectral images,principal component analysis,profitability,near infrared | Computer vision,Computer science,Segmentation,Multispectral image,Dominant wavelength,Near-infrared spectroscopy,Artificial intelligence,Reflectivity,Imaging spectroscopy,Principal component analysis | Conference |
ISBN | Citations | PageRank |
3-540-63507-6 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Baronti | 1 | 559 | 50.87 |
| Andrea Casini | 2 | 9 | 3.63 |
| Franco Lotti | 3 | 74 | 7.20 |
| Simone Porcinai | 4 | 0 | 0.34 |