Knowledge-based segmentation for automatic Map interpretation

conference paper
1996
Hartog, J. den

Kate, T. ten

Gerbrands, J.
In this paper, a knowledge-based framework for the top-down interpretation and segmentation of maps is presented. The interpretation is based on a priori knowledge about map objects, their mutual spatial relationships and potential segmentation problems. To reduce computational costs, a global segmentation is used when possible, but an applicable top-down segmentation strategy is chosen when errors in the global segmentation are detected. The interpretation system has been tested on utility maps and the experiments show that when a top-down resegmentation strategy is used to correct errors in the global segmentation, the recognition performance is improved significantly. © Springer-Verlag Berlin Heidelberg 1996.
Topics
Image segmentationPattern recognitionComputational costsGlobal segmentationInterpretation systemsKnowledge based frameworkMap interpretationPriori knowledgeSpatial relationshipsTop-down interpretationKnowledge based systems
TNO Identifier
530262
Repository link
https://resolver.tno.nl/uuid:f621953d-b1db-40fa-93e0-490f4207eafd
ISSN
03029743
ISBN
3540612262
9783540612261
Publisher
Springer Verlag
Source title
1st International Workshop on Graphics Recognition, 1995, 10 August 1995 through 11 August 1995
Editor(s)
Tombre, K.
Kasturi, R.
Pages
159-178
Files
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