Authors:
Miroslav Beneš
1
;
Barbara Zitová
2
;
Janka Hradilová
3
and
David Hradil
4
Affiliations:
1
Charles University, Czech Republic
;
2
Institute of Information Theory and Automation, Academy of Sciences of Czech Republic, Czech Republic
;
3
Academic Laboratory of Materials Research of Paintings, Academy of Fine Arts, Czech Republic
;
4
Institute of Inorganic Chemistry, Academy of Sciences of Czech Republic, Czech Republic
Keyword(s):
Cultural heritage, Image retrieval, Descriptors, Classification.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Registration
;
Implementation of Image and Video Processing Systems
;
Informatics in Control, Automation and Robotics
;
Segmentation and Grouping
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In this paper we present a system for processing, description and archiving material analyses used during art restoration - Nephele. The aim of the material analyses of painting layers is to identify inorganic and organic compounds using microanalytical methods, and to describe stratigraphy and morphology of layers. The results are used to interpret the applied painting technique. The Nephele system is a database system for material analysis reports, extended with image preprocessing modules and image retrieval facility. The implemented digital image processing methods are image registration, layers segmentation, and grains segmentation. In the archiving part of the Nephele, in addition to traditional database functions we have incorporated image-based retrieval methods into the developed system. They are based on feature descriptions such as the Haralick descriptors of co-occurrence matrices. The presented examples of achieved results show the applicability of the system.