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Proceedings ArticleDOI

Microscopic cross-sections of old artworks

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TLDR
The proposed approach solves the problem of the proper spatial alignment of visible light and ultraviolet light images of cross-sections for further analysis by means of multimodal geometrical image registration and offers primary segmentation of color layers.
Abstract
Materials research of microscopic cross-sections of paintings color layers is a very useful tool. It gives the restorers better insight into the technique, reveals how the artwork was created and what kind of materials was used. The proposed approach solves the problem of the proper spatial alignment of visible light and ultraviolet light images of cross-sections for further analysis by means of multimodal geometrical image registration. Then, the application offers primary segmentation of color layers. Second part of our work deals with automatic image retrieval, as a part of designing a database of laboratory research reports for restoration purposes. The aim is to facilitate search for reports about artworks with similar characteristic, based on the cross-section images.

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Book ChapterDOI

Application of Information Redundancy Measure To Image Segmentation

Dmitry Murashov
- 10 Oct 2016 - 
TL;DR: This work proposes to use information redundancy measure as a criterion for optimizing segmentation quality and shows that the segmented image corresponding to a minimum of redundancy measure produces acceptable information distance when compared with the original image.
Proceedings Article

The image processing system for art specimens: Nephele

TL;DR: Proposed approach geometrically aligns images of microscopic cross-sections of artwork color layers - image registration method based on mutual information, and then creates preliminary color layer segmentation - modified k-means clustering.
Proceedings ArticleDOI

Analysis of painting materials on multimodal microscopic level

TL;DR: A system based on digital image processing algorithms designed to facilitate analysis of painting materials during artwork conservation and retrieval by means of wavelet analysis and secondorder statistics is introduced.
References
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Journal ArticleDOI

Multimodality image registration by maximization of mutual information

TL;DR: The results demonstrate that subvoxel accuracy with respect to the stereotactic reference solution can be achieved completely automatically and without any prior segmentation, feature extraction, or other preprocessing steps which makes this method very well suited for clinical applications.
Journal ArticleDOI

Alignment by Maximization of Mutual Information

TL;DR: A new information-theoretic approach is presented for finding the pose of an object in an image that works well in domains where edge or gradient-magnitude based methods have difficulty, yet it is more robust than traditional correlation.