Special Issue on Selected Papers from the Twentieth International Symposium on Graph Drawing, GD 2012
Optical Graph Recognition
Christopher Auer, Christian Bachmaier, Franz J. Brandenburg, Andreas Glei├čner, and Josef Reislhuber
Vol. 17, no. 4, pp. 541-565, 2013. Regular paper.
Abstract Optical graph recognition (OGR) reverses graph drawing. A drawing transforms the topological structure of a graph into a graphical representation. Primarily, it maps vertices to points and displays them by icons, and it maps edges to Jordan curves connecting the endpoints.
OGR transforms the digital image of a drawn graph into its topological structure. It consists of four phases, preprocessing, segmentation, topology recognition, and postprocessing. OGR is based on established digital image processing techniques. Its novelty is the topology recognition where the edges are recognized with emphasis on the attachment to their vertices and on edge crossings. Our prototypical implementation OGRup shows the effectiveness of the approach and produces a GraphML file, which can be used for further algorithmic studies and graph drawing tools. It has been tested both on hand-made graph drawings and on drawings generated by graph drawing algorithms.
Submitted: December 2012.
Reviewed: February 2013.
Revised: March 2013.
Accepted: April 2013.
Final: April 2013.
Published: July 2013.
Communicated by Walter Didimo and Maurizio Patrignani
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