Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Recovery of temporal information from static images of handwriting
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
Space Image Processing with Cdrom
Space Image Processing with Cdrom
Painting Crack Elimination Using Viscous Morphological Reconstruction
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Stroke segmentation in infrared reflectograms
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Identification of drawing tools by classification of textural and boundary features of strokes
Pattern Recognition Letters
Artistic line-drawings retrieval based on the pictorial content
Journal on Computing and Cultural Heritage (JOCCH)
Restoration of X-ray fluorescence images of hidden paintings
Signal Processing
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Recent developments in computer vision are providing powerful tools for the evaluation of data gathered by art historians and archaeologists. New camera hardware allows new insights into cultural heritage, especially if infrared cameras are concerned, since they allow the of study structures that are visually hidden. In this paper preliminary results of developing a system for automatic analysis of infrared reflectograms are presented. We concentrate on an algorithm for the automatic segmentation of strokes in underdrawings - the basic concept of the artist - in ancient panel paintings and the removal of cracks in infrared images. The purpose of the stroke analysis is the determination of the drawing tool used to draft the painting. This information allows significant support for a systematic stylistic approach in the analysis of paintings. Stroke segmentation in paintings is related to the extraction and recognition of handwriting, therefore similar techniques to segment the strokes from the background incorporating boundary information are used. Results of the algorithms developed are presented for both test panels and real reflectograms.