Abstract
Paper-based raster maps are primarily for human consumption. Todays computer services in geoinformatics usually require vectorized topographic maps, while the usual method of the conversion has been an error-prone, manual process.
The system in development separates the recognition of point-like, line-like and surface-like objects, and the most successful approach appears to be the recognition of these objects in a reversed order with respect to their printing. During the recongition of surfaces, homogeneous and textured surfaces must be distinguished. The most diverse and complicated group constitute the line-like objects.
In this article, a possible method of the conversion is discussed for line-like topographic map objects. The results described here are partially implemented in the IRIS project, but further work remains. This emphasizes the tools of digital image processing and knowledge-based approach.
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Szendrei, R., Elek, I., Márton, M. (2011). Graph-Based Feature Recognition of Line-Like Topographic Map Symbols. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21524-7_35
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DOI: https://doi.org/10.1007/978-3-642-21524-7_35
Publisher Name: Springer, Berlin, Heidelberg
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