Analysis of paintings using multi-sensor data

In this work we propose a system for region segmentation of hyperspectral painting images based on pigments identification method and clustering. Our system combines the molecular information (obtained by hyperspectral camera) with the elemental analysis. The data acquired on the paintings are compared with a database of reference materials that belonged to the artist. The use of reference materials turns out to be crucial in overcoming some of the limitations in the interpretation of the reflectance spectra. In addition, our system is able to detect areas of the painting that were done using materials not usual for our artist; this feature may be of great help in forgery detection.