Abstract

Historical maps contain rich cartographic information, such as road networks, but this information is “locked” in images and inaccessible to a geographic information system (GIS). Manual map digitization requires intensive user effort and cannot handle a large number of maps. Previous approaches for automatic map processing generally require expert knowledge in order to fine-tune parameters of the applied graphics recognition techniques and thus are not readily usable for non-expert users. This paper presents an efficient and effective graphics recognition technique that employs interactive user intervention procedures for processing historical raster maps with limited graphical quality. The interactive procedures are performed on color-segmented preprocessing results and are based on straightforward user training processes, which minimize the required user effort for map digitization. This graphics …

Date

2013

Authors

Yao-Yi Chiang, Stefan Leyk, Craig A Knoblock

Conference

Graphics Recognition. New Trends and Challenges: 9th International Workshop, GREC 2011, Seoul, Korea, September 15-16, 2011, Revised Selected Papers

Pages

25-35

Publisher

Springer Berlin Heidelberg