Optical Graph Recognition
| Autor: | Andreas Gleißner, Franz J. Brandenburg, Josef Reislhuber, Christian Bachmaier, Christopher Auer |
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| Rok vydání: | 2013 |
| Předmět: |
Theoretical computer science
General Computer Science Graph recognition Computer science Voltage graph Computer Science Applications Theoretical Computer Science Digital image Computational Theory and Mathematics Graph drawing Digital image processing Graph (abstract data type) Preprocessor Segmentation Geometry and Topology MathematicsofComputing_DISCRETEMATHEMATICS |
| Zdroj: | Journal of Graph Algorithms and Applications. 17:541-565 |
| ISSN: | 1526-1719 |
| DOI: | 10.7155/jgaa.00303 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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