DocumentCode
1662541
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
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
39
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
ISSN
1091-5281
Print_ISBN
0-7803-7218-2
Type
conf
DOI
10.1109/IMTC.2002.1006812
Filename
1006812
Link To Document