Abstract
An approach to automatic digitation of raster-scanned color cartographic maps is presented. This approach is concerned with three steps involved in the digitizing process: pre-processing, processing and post-processing. Most systems for vectorization raster maps using automatic programs essentially carry out only one kind of operation: follow discrete points along an arc (tracing, snapping) or attempt to combine automatic and interactive modes, if the tracing is met ambiguities. In our proposal, the automation problem is approached from a unified point of view, leading to the development of A2R2V (Analogical-to-Raster-to-Vector) conversion system that is able to recognize and vector a maximum number of cartographic patterns in raster maps. We discuss some strategies for solving this hard problem and illustrate it, briefly describing A2R2V. The place of the operator and knowledge in a raster to vector conversion system is considered as well.
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Levachkine, S. (2004). Raster to Vector Conversion of Color Cartographic Maps. In: Lladós, J., Kwon, YB. (eds) Graphics Recognition. Recent Advances and Perspectives. GREC 2003. Lecture Notes in Computer Science, vol 3088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25977-0_5
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DOI: https://doi.org/10.1007/978-3-540-25977-0_5
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