A general approach to connected-component labeling for arbitrary image representations
Journal of the ACM (JACM)
Coherence-Enhancing Diffusion Filtering
International Journal of Computer Vision
Former books digital processing: image warping
DIA '97 Proceedings of the 1997 Workshop on Document Image Analysis
Correcting Document Image Warping Based on Regression of Curved Text Lines
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Cylindrical Surface Model to Rectify the Bound Document Image
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital restoration using volumetric scanning
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Document capture using stereo vision
Proceedings of the 2004 ACM symposium on Document engineering
Opaque Document Imaging: Building Images of Inaccessible Texts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation Based Recovery of Arbitrarily Warped Document Images
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Automatic liver segmentation from abdominal CT scans
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Tetrahedral mesh generation from volumetric binary and gray-scale images
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
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The objective of our work is to enable the reading of fragile scrolled historical parchments without the need to physically unravel them, thus providing valuable information to a wide range of scholarly disciplines. This problem has not been investigated by the computer vision community properly yet due to the need for parchment scanning technology: standard X-ray equipment is not sufficient as there is a requirement to extract out parchment ink in addition to the parchment's underlying structure. Effective data recovery is also compromised as content from historical scrolled documents is inaccessible due to the deterioration of the parchment. We create a 3D volumetric model of a scrolled parchment's underlying geometry and perform digital unwrapping of the parchment, producing a readable image of the text as an output. The proposed recovery framework consists of structure preserving anisotropic filtering in combination with robust segmentation, surface modelling and ink projection. We demonstrate with real examples how our algorithm is able to recover the underlying text and to solve the major challenge for scrolled parchment analysis, namely segmentation of connected layers and processing the data without user interaction.