Digital imaging methods for painting analysis: the application of RTI and 3D scanning to the study of brushstrokes and paintings

Abstract

This work presents digital imaging technology as a tool for studying artists’ brushstroke patterns and painting techniques. Digital imaging analysis performed using reflectance transformation imaging (RTI) and three-dimensional (3D) scanning was used to observe the morphological textures of brushstrokes formed on the painted surface; this provided a “digital fingerprint” to indicate an individual artist’s specific characteristics. A model specimen was produced to examine the relationship between paint and painting tools. For painting tools, twelve types of brushes were chosen from the artist’s studio. The results revealed distinctive features among the different types of brushes. The model specimen was then further compared with the artist’s works and a replicated painting was also produced for comparison with one of the original works. The overall result provided information about similar patterns corresponding to the types of brushes the artist used for the model specimen and paintings. Distinctive painting pattern features were detected in the replica, although it was painted using the same material and type of brush.