Extraction of Ancient Map Contents Using Trees of Connected Components

Ancient maps are an historical and cultural heritage widely recognized as a very important source of information, but exploiting such maps is complicated. In this project, we consider the Linguistic Atlas of France (ALF), built between 1902 and 1910. This cartographical heritage produces firstrate data for dialectological researches. In this paper, we focus on the separation of the content in layers for facilitating the extraction, the analysis, the visualization and the diffusion of the data contained in these ancient linguistic atlases.

[1]  Thierry Géraud,et al.  The SCRIBO Module of the Olena Platform: A Free Software Framework for Document Image Analysis , 2011, 2011 International Conference on Document Analysis and Recognition.

[2]  Thierry Géraud,et al.  A Comparative Review of Component Tree Computation Algorithms , 2014, IEEE Transactions on Image Processing.

[3]  Yongchao Xu,et al.  Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations , 2015, ISMM.

[4]  Yongchao Xu,et al.  Hierarchical Segmentation Using Tree-Based Shape Spaces , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Antonio Torralba,et al.  LabelMe: Online Image Annotation and Applications , 2010, Proceedings of the IEEE.

[6]  Thierry Géraud,et al.  Planting, Growing, and Pruning Trees: Connected Filters Applied to Document Image Analysis , 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.