Name
Abstract | ||
|---|---|---|
In art diagnostics it is often needed to compare and integrate different sets of information, coming from different sources, and stored in different images. In order to successfully integrate these data, images corresponding to the same areas need to be registered, that is a geometrical transformation that aligns points in one picture with corresponding points in another picture needs to be found and applied. In this paper we present an automatic registration technique for multispectral images, based on the computation of mutual information. We applied this method to obtain RGB images from multispectral data, and derive a (undersampled) spectral signature per pixel of the painting. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIP.2005.1530118 | Image Processing, 2005. ICIP 2005. IEEE International Conference |
Keywords | Field | DocType |
humanities,image registration,art diagnostics,automatic registration algorithm,cultural heritage images,multispectral images | Computer vision,Pattern recognition,Computer science,Multispectral image,Image processing,Artificial intelligence,RGB color model,Mutual information,Pixel,Image resolution,Spectral signature,Image registration | Conference |
Volume | ISSN | ISBN |
2 | 1522-4880 | 0-7803-9134-9 |
Citations | PageRank | References |
7 | 0.60 | 3 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vito Cappellini | 1 | 521 | 64.85 |
| Andrea Del Mastio | 2 | 54 | 3.03 |
| Alessia De Rosa | 3 | 312 | 20.66 |
| Alessandro Piva | 4 | 2231 | 157.21 |
| Anna Pelagotti | 5 | 40 | 5.40 |
| Hala El Yamani | 6 | 7 | 0.60 |
| Del Mastio, A. | 7 | 7 | 0.60 |
| De Rosa, A. | 8 | 22 | 1.53 |