Journal of Imaging Article Analysis of Diagnostic Images of Artworks and Feature Extraction: Design of a Methodology Annamaria Amura 1,*, Alessandro Aldini 1 , Stefano Pagnotta 2 , Emanuele Salerno 3 , Anna Tonazzini 3 and Paolo Triolo 4 1 Department of Pure and Applied Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy;
[email protected] 2 Department of Earth Sciences, University of Pisa, 56126 Pisa, Italy;
[email protected] 3 National Research Council of Italy, Institute of Information Science and Technologies, 56124 Pisa, Italy;
[email protected] (E.S.);
[email protected] (A.T.) 4 Department of Earth Sciences of the Environment and Life, Methodologies for Conservation and Restoration of Cultural Heritage, University of Genoa, 16126 Genova, Italy;
[email protected] * Correspondence:
[email protected] Abstract: Digital images represent the primary tool for diagnostics and documentation of the state of preservation of artifacts. Today the interpretive filters that allow one to characterize information and communicate it are extremely subjective. Our research goal is to study a quantitative analysis method- ology to facilitate and semi-automate the recognition and polygonization of areas corresponding to the characteristics searched. To this end, several algorithms have been tested that allow for separating the characteristics and creating binary masks to be statistically analyzed and polygonized. Since our methodology aims to offer a conservator-restorer model to obtain useful graphic documentation in a short time that is usable for design and statistical purposes, this process has been implemented in a Citation: Amura, A.; Aldini, A.; single Geographic Information Systems (GIS) application.