Title :
Texture characterization of the visual appearance of paintings
Author :
Cai, Yang ; Siegel, Mel
Author_Institution :
Human-Comput. Interaction Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
A texture characterization method has been explored to model the visual appearance of painting before and after a surface treatment. A preliminary experiment has been conducted to test the texture feature vectors before and after varnishing with Grumbacher´s Picture Varnish liquid. Numerical functions, such as level of harmony (Energy) and level of disorder (Entropy) are computed. The results show that both functions are sensitive to the effect of varnishing. Energy function is the most sensitive measurement. Entropy function shows that varnishing enriches the painting´s textural details. The findings are consistent with the art conservationists´ experience.
Keywords :
art; entropy; feature extraction; image classification; surface texture; surface topography measurement; visual perception; Statistical texture; conservation; energy; entropy; gray scale co-occurrence matrix; second order image statistics; texture; vision; visual appearance; Art; Cameras; Charge-coupled image sensors; Computer science; Entropy; Lighting; Painting; Petroleum; Robot kinematics; Testing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
Print_ISBN :
0-7803-7218-2
DOI :
10.1109/IMTC.2002.1006812